狠狠撸shows by User: EnterpriseDB / http://www.slideshare.net/images/logo.gif 狠狠撸shows by User: EnterpriseDB / Thu, 24 Mar 2022 13:37:44 GMT 狠狠撸Share feed for 狠狠撸shows by User: EnterpriseDB Cloud Migration Paths: Kubernetes, IaaS, or DBaaS /slideshow/cloud-migration-paths-kubernetes-iaas-or-dbaas/251418304 march24webinarcloudmigrationpathskubernetesiaasordbaas-220324133744
Moving to the cloud is hard, and moving Postgres databases to the cloud is even harder. Public cloud or private cloud? Infrastructure as a Service (IaaS), or Platform as a Service (PaaS)? Kubernetes for the application, or for the database and the application? This talk will juxtapose self-managed Kubernetes and container-based database solutions, Postgres deployments on IaaS, and Postgres DBaaS solutions of which EDB鈥檚 DBaaS BigAnimal is the latest example.]]>
Moving to the cloud is hard, and moving Postgres databases to the cloud is even harder. Public cloud or private cloud? Infrastructure as a Service (IaaS), or Platform as a Service (PaaS)? Kubernetes for the application, or for the database and the application? This talk will juxtapose self-managed Kubernetes and container-based database solutions, Postgres deployments on IaaS, and Postgres DBaaS solutions of which EDB鈥檚 DBaaS BigAnimal is the latest example.]]> Thu, 24 Mar 2022 13:37:44 GMT /slideshow/cloud-migration-paths-kubernetes-iaas-or-dbaas/251418304 EnterpriseDB@slideshare.net(EnterpriseDB) Cloud Migration Paths: Kubernetes, IaaS, or DBaaS EnterpriseDB Moving to the cloud is hard, and moving Postgres databases to the cloud is even harder. Public cloud or private cloud? Infrastructure as a Service (IaaS), or Platform as a Service (PaaS)? Kubernetes for the application, or for the database and the application? This talk will juxtapose self-managed Kubernetes and container-based database solutions, Postgres deployments on IaaS, and Postgres DBaaS solutions of which EDB鈥檚 DBaaS BigAnimal is the latest example. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/march24webinarcloudmigrationpathskubernetesiaasordbaas-220324133744-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Moving to the cloud is hard, and moving Postgres databases to the cloud is even harder. Public cloud or private cloud? Infrastructure as a Service (IaaS), or Platform as a Service (PaaS)? Kubernetes for the application, or for the database and the application? This talk will juxtapose self-managed Kubernetes and container-based database solutions, Postgres deployments on IaaS, and Postgres DBaaS solutions of which EDB鈥檚 DBaaS BigAnimal is the latest example.
Cloud Migration Paths: Kubernetes, IaaS, or DBaaS from EDB
]]> 383 0 https://cdn.slidesharecdn.com/ss_thumbnails/march24webinarcloudmigrationpathskubernetesiaasordbaas-220324133744-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Die 10 besten PostgreSQL-Replikationsstrategien f眉r Ihr Unternehmen /slideshow/die-10-besten-postgresqlreplikationsstrategien-fr-ihr-unternehmen/251407774 2022-03dachdie10bestenpostgresql-replikationsstrategienfrihrunternehmen-220323101443
Dieses Webinar hilft Ihnen, die Unterschiede zwischen den verschiedenen Replikationsans盲tzen zu verstehen, die Anforderungen der jeweiligen Strategie zu erkennen und sich 眉ber die M枚glichkeiten klar zu werden, was mit jeder einzelnen zu erreichen ist. Damit werden Sie hoffentlich eher in der Lage sein, herauszufinden, welche PostgreSQL-Replikationsarten Sie wirklich f眉r Ihr System ben枚tigen. - Wie physische und logische Replikation in PostgreSQL funktionieren - Unterschiede zwischen synchroner und asynchroner Replikation - Vorteile, Nachteile und Herausforderungen bei der Multi-Master-Replikation - Welche Replikationsstrategie f眉r unterschiedliche Use-Cases besser geeignet ist Referent: Borys Neselovskyi, Regional Sales Engineer DACH, EDB ------------------------------------------------------------ For more #webinars, visit http://bit.ly/EDB-Webinars Download free #PostgreSQL whitepapers: http://bit.ly/EDB-Whitepapers Read our #Postgres Blog http://bit.ly/EDB-Blogs Follow us on Facebook at http://bit.ly/EDB-FB Follow us on Twitter at http://bit.ly/EDB-Twitter Follow us on LinkedIn at http://bit.ly/EDB-LinkedIn Reach us via email at marketing@enterprisedb.com]]>
Dieses Webinar hilft Ihnen, die Unterschiede zwischen den verschiedenen Replikationsans盲tzen zu verstehen, die Anforderungen der jeweiligen Strategie zu erkennen und sich 眉ber die M枚glichkeiten klar zu werden, was mit jeder einzelnen zu erreichen ist. Damit werden Sie hoffentlich eher in der Lage sein, herauszufinden, welche PostgreSQL-Replikationsarten Sie wirklich f眉r Ihr System ben枚tigen. - Wie physische und logische Replikation in PostgreSQL funktionieren - Unterschiede zwischen synchroner und asynchroner Replikation - Vorteile, Nachteile und Herausforderungen bei der Multi-Master-Replikation - Welche Replikationsstrategie f眉r unterschiedliche Use-Cases besser geeignet ist Referent: Borys Neselovskyi, Regional Sales Engineer DACH, EDB ------------------------------------------------------------ For more #webinars, visit http://bit.ly/EDB-Webinars Download free #PostgreSQL whitepapers: http://bit.ly/EDB-Whitepapers Read our #Postgres Blog http://bit.ly/EDB-Blogs Follow us on Facebook at http://bit.ly/EDB-FB Follow us on Twitter at http://bit.ly/EDB-Twitter Follow us on LinkedIn at http://bit.ly/EDB-LinkedIn Reach us via email at marketing@enterprisedb.com]]> Wed, 23 Mar 2022 10:14:42 GMT /slideshow/die-10-besten-postgresqlreplikationsstrategien-fr-ihr-unternehmen/251407774 EnterpriseDB@slideshare.net(EnterpriseDB) Die 10 besten PostgreSQL-Replikationsstrategien f眉r Ihr Unternehmen EnterpriseDB Dieses Webinar hilft Ihnen, die Unterschiede zwischen den verschiedenen Replikationsans盲tzen zu verstehen, die Anforderungen der jeweiligen Strategie zu erkennen und sich 眉ber die M枚glichkeiten klar zu werden, was mit jeder einzelnen zu erreichen ist. Damit werden Sie hoffentlich eher in der Lage sein, herauszufinden, welche PostgreSQL-Replikationsarten Sie wirklich f眉r Ihr System ben枚tigen. - Wie physische und logische Replikation in PostgreSQL funktionieren - Unterschiede zwischen synchroner und asynchroner Replikation - Vorteile, Nachteile und Herausforderungen bei der Multi-Master-Replikation - Welche Replikationsstrategie f眉r unterschiedliche Use-Cases besser geeignet ist Referent: Borys Neselovskyi, Regional Sales Engineer DACH, EDB ------------------------------------------------------------ For more #webinars, visit http://bit.ly/EDB-Webinars Download free #PostgreSQL whitepapers: http://bit.ly/EDB-Whitepapers Read our #Postgres Blog http://bit.ly/EDB-Blogs Follow us on Facebook at http://bit.ly/EDB-FB Follow us on Twitter at http://bit.ly/EDB-Twitter Follow us on LinkedIn at http://bit.ly/EDB-LinkedIn Reach us via email at marketing@enterprisedb.com <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2022-03dachdie10bestenpostgresql-replikationsstrategienfrihrunternehmen-220323101443-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Dieses Webinar hilft Ihnen, die Unterschiede zwischen den verschiedenen Replikationsans盲tzen zu verstehen, die Anforderungen der jeweiligen Strategie zu erkennen und sich 眉ber die M枚glichkeiten klar zu werden, was mit jeder einzelnen zu erreichen ist. Damit werden Sie hoffentlich eher in der Lage sein, herauszufinden, welche PostgreSQL-Replikationsarten Sie wirklich f眉r Ihr System ben枚tigen. - Wie physische und logische Replikation in PostgreSQL funktionieren - Unterschiede zwischen synchroner und asynchroner Replikation - Vorteile, Nachteile und Herausforderungen bei der Multi-Master-Replikation - Welche Replikationsstrategie f眉r unterschiedliche Use-Cases besser geeignet ist Referent: Borys Neselovskyi, Regional Sales Engineer DACH, EDB ------------------------------------------------------------ For more #webinars, visit http://bit.ly/EDB-Webinars Download free #PostgreSQL whitepapers: http://bit.ly/EDB-Whitepapers Read our #Postgres Blog http://bit.ly/EDB-Blogs Follow us on Facebook at http://bit.ly/EDB-FB Follow us on Twitter at http://bit.ly/EDB-Twitter Follow us on LinkedIn at http://bit.ly/EDB-LinkedIn Reach us via email at marketing@enterprisedb.com
Die 10 besten PostgreSQL-Replikationsstrategien f绔痳 Ihr Unternehmen from EDB
]]> 174 0 https://cdn.slidesharecdn.com/ss_thumbnails/2022-03dachdie10bestenpostgresql-replikationsstrategienfrihrunternehmen-220323101443-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Migre sus bases de datos Oracle a la nube /slideshow/migre-sus-bases-de-datos-oracle-a-la-nube/251367417 2022-03spainmigresusbasesdedatosoraclealanube-220317090411
Cuando busca alternativas a Oracle en la nube, hacer el cambio puede parecer un trabajo duro. Entendemos que la migraci贸n involucra m谩s que solo la base de datos. La compatibilidad es un punto clave, especialmente cuando se consideran los recursos que posiblemente ya haya invertido en Oracle, como por ejemplo el c贸digo de aplicaci贸n espec铆fico de Oracle.Este seminario web explorar谩 las opciones y las principales consideraciones al pasar de las bases de datos de Oracle a la nube. - Revisi贸n detallada de las ofertas de bases de datos disponibles en la nube - Factores cr铆ticos que se deben considerar considerar para elegir la oferta en la nube m谩s adecuada - C贸mo la experiencia de EDB con PostgreSQL puede ayudarlo en su decisi贸n - Demostraci贸n de BigAnimal de EDB Pr茅sentateur: Sergio Romera, Senior Sales Engineer EMEA, EDB ------------------------------------------------------------ For more #webinars, visit http://bit.ly/EDB-Webinars Download free #PostgreSQL whitepapers: http://bit.ly/EDB-Whitepapers Read our #Postgres Blog http://bit.ly/EDB-Blogs Follow us on Facebook at http://bit.ly/EDB-FB Follow us on Twitter at http://bit.ly/EDB-Twitter Follow us on LinkedIn at http://bit.ly/EDB-LinkedIn Reach us via email at marketing@enterprisedb.com ]]>
Cuando busca alternativas a Oracle en la nube, hacer el cambio puede parecer un trabajo duro. Entendemos que la migraci贸n involucra m谩s que solo la base de datos. La compatibilidad es un punto clave, especialmente cuando se consideran los recursos que posiblemente ya haya invertido en Oracle, como por ejemplo el c贸digo de aplicaci贸n espec铆fico de Oracle.Este seminario web explorar谩 las opciones y las principales consideraciones al pasar de las bases de datos de Oracle a la nube. - Revisi贸n detallada de las ofertas de bases de datos disponibles en la nube - Factores cr铆ticos que se deben considerar considerar para elegir la oferta en la nube m谩s adecuada - C贸mo la experiencia de EDB con PostgreSQL puede ayudarlo en su decisi贸n - Demostraci贸n de BigAnimal de EDB Pr茅sentateur: Sergio Romera, Senior Sales Engineer EMEA, EDB ------------------------------------------------------------ For more #webinars, visit http://bit.ly/EDB-Webinars Download free #PostgreSQL whitepapers: http://bit.ly/EDB-Whitepapers Read our #Postgres Blog http://bit.ly/EDB-Blogs Follow us on Facebook at http://bit.ly/EDB-FB Follow us on Twitter at http://bit.ly/EDB-Twitter Follow us on LinkedIn at http://bit.ly/EDB-LinkedIn Reach us via email at marketing@enterprisedb.com ]]> Thu, 17 Mar 2022 09:04:10 GMT /slideshow/migre-sus-bases-de-datos-oracle-a-la-nube/251367417 EnterpriseDB@slideshare.net(EnterpriseDB) Migre sus bases de datos Oracle a la nube EnterpriseDB Cuando busca alternativas a Oracle en la nube, hacer el cambio puede parecer un trabajo duro. Entendemos que la migraci贸n involucra m谩s que solo la base de datos. La compatibilidad es un punto clave, especialmente cuando se consideran los recursos que posiblemente ya haya invertido en Oracle, como por ejemplo el c贸digo de aplicaci贸n espec铆fico de Oracle.Este seminario web explorar谩 las opciones y las principales consideraciones al pasar de las bases de datos de Oracle a la nube. - Revisi贸n detallada de las ofertas de bases de datos disponibles en la nube - Factores cr铆ticos que se deben considerar considerar para elegir la oferta en la nube m谩s adecuada - C贸mo la experiencia de EDB con PostgreSQL puede ayudarlo en su decisi贸n - Demostraci贸n de BigAnimal de EDB Pr茅sentateur: Sergio Romera, Senior Sales Engineer EMEA, EDB ------------------------------------------------------------ For more #webinars, visit http://bit.ly/EDB-Webinars Download free #PostgreSQL whitepapers: http://bit.ly/EDB-Whitepapers Read our #Postgres Blog http://bit.ly/EDB-Blogs Follow us on Facebook at http://bit.ly/EDB-FB Follow us on Twitter at http://bit.ly/EDB-Twitter Follow us on LinkedIn at http://bit.ly/EDB-LinkedIn Reach us via email at marketing@enterprisedb.com <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2022-03spainmigresusbasesdedatosoraclealanube-220317090411-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Cuando busca alternativas a Oracle en la nube, hacer el cambio puede parecer un trabajo duro. Entendemos que la migraci贸n involucra m谩s que solo la base de datos. La compatibilidad es un punto clave, especialmente cuando se consideran los recursos que posiblemente ya haya invertido en Oracle, como por ejemplo el c贸digo de aplicaci贸n espec铆fico de Oracle.Este seminario web explorar谩 las opciones y las principales consideraciones al pasar de las bases de datos de Oracle a la nube. - Revisi贸n detallada de las ofertas de bases de datos disponibles en la nube - Factores cr铆ticos que se deben considerar considerar para elegir la oferta en la nube m谩s adecuada - C贸mo la experiencia de EDB con PostgreSQL puede ayudarlo en su decisi贸n - Demostraci贸n de BigAnimal de EDB Pr茅sentateur: Sergio Romera, Senior Sales Engineer EMEA, EDB ------------------------------------------------------------ For more #webinars, visit http://bit.ly/EDB-Webinars Download free #PostgreSQL whitepapers: http://bit.ly/EDB-Whitepapers Read our #Postgres Blog http://bit.ly/EDB-Blogs Follow us on Facebook at http://bit.ly/EDB-FB Follow us on Twitter at http://bit.ly/EDB-Twitter Follow us on LinkedIn at http://bit.ly/EDB-LinkedIn Reach us via email at marketing@enterprisedb.com
Migre sus bases de datos Oracle a la nube from EDB
]]> 165 0 https://cdn.slidesharecdn.com/ss_thumbnails/2022-03spainmigresusbasesdedatosoraclealanube-220317090411-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 EFM Office Hours - APJ - July 29, 2021 /slideshow/efm-office-hours-apj-july-29-2021/249905273 efmofficehourson29july2021-210802135154
EFM Office hourse]]>
EFM Office hourse]]> Mon, 02 Aug 2021 13:51:53 GMT /slideshow/efm-office-hours-apj-july-29-2021/249905273 EnterpriseDB@slideshare.net(EnterpriseDB) EFM Office Hours - APJ - July 29, 2021 EnterpriseDB EFM Office hourse <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/efmofficehourson29july2021-210802135154-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> EFM Office hourse
EFM Office Hours - APJ - July 29, 2021 from EDB
]]> 438 0 https://cdn.slidesharecdn.com/ss_thumbnails/efmofficehourson29july2021-210802135154-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Benchmarking Cloud Native PostgreSQL /slideshow/benchmarking-cloud-native-postgresql/249566022 benchmarkdiworkloadpostgresqlink8s-20210701-210701162920
Database come PostgreSQL non possono girare su Kubernetes. Questo 猫 il ritornello che sentiamo continuamente, ma al tempo stesso la motivazione per noi di EDB di abbattere questo muro, una volta per tutte. In questo webinar parleremo della nostra avventura finora per portare PostgreSQL su Kubernetes. Scopri perch茅 crediamo che fare benchmark di storage e del database prima di andare in produzione porti a una pi霉 sana e longeva vita di un DBMS, anche su Kubernetes. Condivideremo il nostro processo, i risultati fin qui ottenuti e sveleremo i nostri piani per il futuro con Cloud Native PostgreSQL.]]>
Database come PostgreSQL non possono girare su Kubernetes. Questo 猫 il ritornello che sentiamo continuamente, ma al tempo stesso la motivazione per noi di EDB di abbattere questo muro, una volta per tutte. In questo webinar parleremo della nostra avventura finora per portare PostgreSQL su Kubernetes. Scopri perch茅 crediamo che fare benchmark di storage e del database prima di andare in produzione porti a una pi霉 sana e longeva vita di un DBMS, anche su Kubernetes. Condivideremo il nostro processo, i risultati fin qui ottenuti e sveleremo i nostri piani per il futuro con Cloud Native PostgreSQL.]]> Thu, 01 Jul 2021 16:29:19 GMT /slideshow/benchmarking-cloud-native-postgresql/249566022 EnterpriseDB@slideshare.net(EnterpriseDB) Benchmarking Cloud Native PostgreSQL EnterpriseDB Database come PostgreSQL non possono girare su Kubernetes. Questo 猫 il ritornello che sentiamo continuamente, ma al tempo stesso la motivazione per noi di EDB di abbattere questo muro, una volta per tutte. In questo webinar parleremo della nostra avventura finora per portare PostgreSQL su Kubernetes. Scopri perch茅 crediamo che fare benchmark di storage e del database prima di andare in produzione porti a una pi霉 sana e longeva vita di un DBMS, anche su Kubernetes. Condivideremo il nostro processo, i risultati fin qui ottenuti e sveleremo i nostri piani per il futuro con Cloud Native PostgreSQL. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/benchmarkdiworkloadpostgresqlink8s-20210701-210701162920-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Database come PostgreSQL non possono girare su Kubernetes. Questo 猫 il ritornello che sentiamo continuamente, ma al tempo stesso la motivazione per noi di EDB di abbattere questo muro, una volta per tutte. In questo webinar parleremo della nostra avventura finora per portare PostgreSQL su Kubernetes. Scopri perch茅 crediamo che fare benchmark di storage e del database prima di andare in produzione porti a una pi霉 sana e longeva vita di un DBMS, anche su Kubernetes. Condivideremo il nostro processo, i risultati fin qui ottenuti e sveleremo i nostri piani per il futuro con Cloud Native PostgreSQL.
Benchmarking Cloud Native PostgreSQL from EDB
]]> 255 0 https://cdn.slidesharecdn.com/ss_thumbnails/benchmarkdiworkloadpostgresqlink8s-20210701-210701162920-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Las Variaciones de la Replicaci贸n de PostgreSQL https://es.slideshare.net/slideshow/las-variaciones-de-la-replicacin-de-postgresql/248481773 edbvariacionespgreplication-210524075013
Replicaci贸n f铆sica, replicaci贸n l贸gica, s铆ncrona, as铆ncrona, multi-maestro, escalabilidad horizontal, etc. Son muchos los t茅rminos asociados con la replicaci贸n de bases de datos. En esta charla revisaremos los conceptos fundamentales detr谩s de cada variaci贸n de la replicaci贸n de PostgreSQL, y en qu茅 casos conviene usar una o la otra. La presentaci贸n incluye una parte pr谩ctica con demostraciones aunque no ser谩 un tutorial sobre como configurar un cluster. El enfoque est谩 en entender cada variaci贸n para elegir la mejor dependiendo del caso de uso. Cosas que aprender谩n: - C贸mo funciona la replicaci贸n f铆sica en PostgreSQL - C贸mo funciona la replicaci贸n l贸gica en PostgreSQL - Diferencias entre replicaci贸n s铆ncrona y as铆ncrona - Qu茅 es replicaci贸n multi-maestro]]>
Replicaci贸n f铆sica, replicaci贸n l贸gica, s铆ncrona, as铆ncrona, multi-maestro, escalabilidad horizontal, etc. Son muchos los t茅rminos asociados con la replicaci贸n de bases de datos. En esta charla revisaremos los conceptos fundamentales detr谩s de cada variaci贸n de la replicaci贸n de PostgreSQL, y en qu茅 casos conviene usar una o la otra. La presentaci贸n incluye una parte pr谩ctica con demostraciones aunque no ser谩 un tutorial sobre como configurar un cluster. El enfoque est谩 en entender cada variaci贸n para elegir la mejor dependiendo del caso de uso. Cosas que aprender谩n: - C贸mo funciona la replicaci贸n f铆sica en PostgreSQL - C贸mo funciona la replicaci贸n l贸gica en PostgreSQL - Diferencias entre replicaci贸n s铆ncrona y as铆ncrona - Qu茅 es replicaci贸n multi-maestro]]> Mon, 24 May 2021 07:50:12 GMT https://es.slideshare.net/slideshow/las-variaciones-de-la-replicacin-de-postgresql/248481773 EnterpriseDB@slideshare.net(EnterpriseDB) Las Variaciones de la Replicaci贸n de PostgreSQL EnterpriseDB Replicaci贸n f铆sica, replicaci贸n l贸gica, s铆ncrona, as铆ncrona, multi-maestro, escalabilidad horizontal, etc. Son muchos los t茅rminos asociados con la replicaci贸n de bases de datos. En esta charla revisaremos los conceptos fundamentales detr谩s de cada variaci贸n de la replicaci贸n de PostgreSQL, y en qu茅 casos conviene usar una o la otra. La presentaci贸n incluye una parte pr谩ctica con demostraciones aunque no ser谩 un tutorial sobre como configurar un cluster. El enfoque est谩 en entender cada variaci贸n para elegir la mejor dependiendo del caso de uso. Cosas que aprender谩n: - C贸mo funciona la replicaci贸n f铆sica en PostgreSQL - C贸mo funciona la replicaci贸n l贸gica en PostgreSQL - Diferencias entre replicaci贸n s铆ncrona y as铆ncrona - Qu茅 es replicaci贸n multi-maestro <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/edbvariacionespgreplication-210524075013-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Replicaci贸n f铆sica, replicaci贸n l贸gica, s铆ncrona, as铆ncrona, multi-maestro, escalabilidad horizontal, etc. Son muchos los t茅rminos asociados con la replicaci贸n de bases de datos. En esta charla revisaremos los conceptos fundamentales detr谩s de cada variaci贸n de la replicaci贸n de PostgreSQL, y en qu茅 casos conviene usar una o la otra. La presentaci贸n incluye una parte pr谩ctica con demostraciones aunque no ser谩 un tutorial sobre como configurar un cluster. El enfoque est谩 en entender cada variaci贸n para elegir la mejor dependiendo del caso de uso. Cosas que aprender谩n: - C贸mo funciona la replicaci贸n f铆sica en PostgreSQL - C贸mo funciona la replicaci贸n l贸gica en PostgreSQL - Diferencias entre replicaci贸n s铆ncrona y as铆ncrona - Qu茅 es replicaci贸n multi-maestro
from EDB
]]> 446 0 https://cdn.slidesharecdn.com/ss_thumbnails/edbvariacionespgreplication-210524075013-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 NoSQL and Spatial Database Capabilities using PostgreSQL /slideshow/nosql-and-spatial-database-capabilities-using-postgresql/248414181 nosqlandspatialdatabasesusingpostgresql-210521152911
PostgreSQL is an object-relational database system. NoSQL on the other hand is a non-relational database and is document-oriented. Learn how the PostgreSQL database gives one the flexible options to combine NoSQL workloads with the relational query power by offering JSON data types. With PostgreSQL, new capabilities can be developed and plugged into the database as required. Attend this webinar to learn: - The new features and capabilities in PostgreSQL for new workloads, requiring greater flexibility in the data model - NoSQL with JSON, Hstore and its performance and features for enterprises - Spatial SQL - advanced features in PostGIS application with PostGIS extension]]>
PostgreSQL is an object-relational database system. NoSQL on the other hand is a non-relational database and is document-oriented. Learn how the PostgreSQL database gives one the flexible options to combine NoSQL workloads with the relational query power by offering JSON data types. With PostgreSQL, new capabilities can be developed and plugged into the database as required. Attend this webinar to learn: - The new features and capabilities in PostgreSQL for new workloads, requiring greater flexibility in the data model - NoSQL with JSON, Hstore and its performance and features for enterprises - Spatial SQL - advanced features in PostGIS application with PostGIS extension]]> Fri, 21 May 2021 15:29:10 GMT /slideshow/nosql-and-spatial-database-capabilities-using-postgresql/248414181 EnterpriseDB@slideshare.net(EnterpriseDB) NoSQL and Spatial Database Capabilities using PostgreSQL EnterpriseDB PostgreSQL is an object-relational database system. NoSQL on the other hand is a non-relational database and is document-oriented. Learn how the PostgreSQL database gives one the flexible options to combine NoSQL workloads with the relational query power by offering JSON data types. With PostgreSQL, new capabilities can be developed and plugged into the database as required. Attend this webinar to learn: - The new features and capabilities in PostgreSQL for new workloads, requiring greater flexibility in the data model - NoSQL with JSON, Hstore and its performance and features for enterprises - Spatial SQL - advanced features in PostGIS application with PostGIS extension <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/nosqlandspatialdatabasesusingpostgresql-210521152911-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> PostgreSQL is an object-relational database system. NoSQL on the other hand is a non-relational database and is document-oriented. Learn how the PostgreSQL database gives one the flexible options to combine NoSQL workloads with the relational query power by offering JSON data types. With PostgreSQL, new capabilities can be developed and plugged into the database as required. Attend this webinar to learn: - The new features and capabilities in PostgreSQL for new workloads, requiring greater flexibility in the data model - NoSQL with JSON, Hstore and its performance and features for enterprises - Spatial SQL - advanced features in PostGIS application with PostGIS extension
NoSQL and Spatial Database Capabilities using PostgreSQL from EDB
]]> 383 0 https://cdn.slidesharecdn.com/ss_thumbnails/nosqlandspatialdatabasesusingpostgresql-210521152911-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Is There Anything PgBouncer Can鈥檛 Do? /slideshow/is-there-anything-pgbouncer-cant-do/248307306 pgbouncerkjexv2-210513104723
"Why use PgBouncer? It鈥檚 a lightweight, easy to configure connection pooler and it does one job well. As you鈥檇 expect from a talk on connection pooling, we鈥檒l give a brief summary of connection pooling and why it increases efficiency. We鈥檒l look at when not to use connection pooling, and we鈥檒l demonstrate how to configure PgBouncer and how it works. But. Did you know you can also do this? 1. Scaling PgBouncer PgBouncer is single threaded which means a single instance of PgBouncer isn鈥檛 going to do you much good on a multi-threaded and/or multi-CPU machine. We鈥檒l show you how to add more PgBouncer instances so you can use more than one thread for easy scaling. 2. Read-write / read only routing Using different pgBouncer databases you can route read-write traffic to the primary database and route read-only traffic to a number of standby databases. 3. Load balancing When we use multiple PgBouncer instances, load balancing comes for free. Load balancing can be directed to different standbys, and weighted according to ratios of load. 4. Silent failover You can perform silent failover during promotion of a new primary (assuming you have a VIP/DNS etc that always points to the primary). 5. And even: DoS prevention and protection from 鈥渂adly behaved鈥 applications! By using distinct port numbers you can provide database connections which deal with sudden bursts of incoming traffic in very different ways, which can help prevent the database from becoming swamped during high activity periods. You should leave the presentation wondering if there is anything PgBouncer can鈥檛 do."]]>
"Why use PgBouncer? It鈥檚 a lightweight, easy to configure connection pooler and it does one job well. As you鈥檇 expect from a talk on connection pooling, we鈥檒l give a brief summary of connection pooling and why it increases efficiency. We鈥檒l look at when not to use connection pooling, and we鈥檒l demonstrate how to configure PgBouncer and how it works. But. Did you know you can also do this? 1. Scaling PgBouncer PgBouncer is single threaded which means a single instance of PgBouncer isn鈥檛 going to do you much good on a multi-threaded and/or multi-CPU machine. We鈥檒l show you how to add more PgBouncer instances so you can use more than one thread for easy scaling. 2. Read-write / read only routing Using different pgBouncer databases you can route read-write traffic to the primary database and route read-only traffic to a number of standby databases. 3. Load balancing When we use multiple PgBouncer instances, load balancing comes for free. Load balancing can be directed to different standbys, and weighted according to ratios of load. 4. Silent failover You can perform silent failover during promotion of a new primary (assuming you have a VIP/DNS etc that always points to the primary). 5. And even: DoS prevention and protection from 鈥渂adly behaved鈥 applications! By using distinct port numbers you can provide database connections which deal with sudden bursts of incoming traffic in very different ways, which can help prevent the database from becoming swamped during high activity periods. You should leave the presentation wondering if there is anything PgBouncer can鈥檛 do."]]> Thu, 13 May 2021 10:47:23 GMT /slideshow/is-there-anything-pgbouncer-cant-do/248307306 EnterpriseDB@slideshare.net(EnterpriseDB) Is There Anything PgBouncer Can鈥檛 Do? EnterpriseDB "Why use PgBouncer? It鈥檚 a lightweight, easy to configure connection pooler and it does one job well. As you鈥檇 expect from a talk on connection pooling, we鈥檒l give a brief summary of connection pooling and why it increases efficiency. We鈥檒l look at when not to use connection pooling, and we鈥檒l demonstrate how to configure PgBouncer and how it works. But. Did you know you can also do this? 1. Scaling PgBouncer PgBouncer is single threaded which means a single instance of PgBouncer isn鈥檛 going to do you much good on a multi-threaded and/or multi-CPU machine. We鈥檒l show you how to add more PgBouncer instances so you can use more than one thread for easy scaling. 2. Read-write / read only routing Using different pgBouncer databases you can route read-write traffic to the primary database and route read-only traffic to a number of standby databases. 3. Load balancing When we use multiple PgBouncer instances, load balancing comes for free. Load balancing can be directed to different standbys, and weighted according to ratios of load. 4. Silent failover You can perform silent failover during promotion of a new primary (assuming you have a VIP/DNS etc that always points to the primary). 5. And even: DoS prevention and protection from 鈥渂adly behaved鈥 applications! By using distinct port numbers you can provide database connections which deal with sudden bursts of incoming traffic in very different ways, which can help prevent the database from becoming swamped during high activity periods. You should leave the presentation wondering if there is anything PgBouncer can鈥檛 do." <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pgbouncerkjexv2-210513104723-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> &quot;Why use PgBouncer? It鈥檚 a lightweight, easy to configure connection pooler and it does one job well. As you鈥檇 expect from a talk on connection pooling, we鈥檒l give a brief summary of connection pooling and why it increases efficiency. We鈥檒l look at when not to use connection pooling, and we鈥檒l demonstrate how to configure PgBouncer and how it works. But. Did you know you can also do this? 1. Scaling PgBouncer PgBouncer is single threaded which means a single instance of PgBouncer isn鈥檛 going to do you much good on a multi-threaded and/or multi-CPU machine. We鈥檒l show you how to add more PgBouncer instances so you can use more than one thread for easy scaling. 2. Read-write / read only routing Using different pgBouncer databases you can route read-write traffic to the primary database and route read-only traffic to a number of standby databases. 3. Load balancing When we use multiple PgBouncer instances, load balancing comes for free. Load balancing can be directed to different standbys, and weighted according to ratios of load. 4. Silent failover You can perform silent failover during promotion of a new primary (assuming you have a VIP/DNS etc that always points to the primary). 5. And even: DoS prevention and protection from 鈥渂adly behaved鈥 applications! By using distinct port numbers you can provide database connections which deal with sudden bursts of incoming traffic in very different ways, which can help prevent the database from becoming swamped during high activity periods. You should leave the presentation wondering if there is anything PgBouncer can鈥檛 do.&quot;
Is There Anything PgBouncer Can鈥檛 Do? from EDB
]]> 361 0 https://cdn.slidesharecdn.com/ss_thumbnails/pgbouncerkjexv2-210513104723-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Data Analysis with TensorFlow in PostgreSQL /slideshow/data-analysis-with-tensorflow-in-postgresql/248307288 dataanalysiswithtensorflowinpostgresql-210513104539
In this talk I'll discuss how we can combine the power of PostgreSQL with TensorFlow to perform data analysis. By using the pl/python3 procedural language we can integrate machine learning libraries such as TensorFlow with PostgreSQL, opening the door for powerful data analytics combining SQL with AI. Typical use-cases might involve regression analysis to find relationships in an existing dataset and to predict results based on new inputs, or to analyse time series data and extrapolate future data taking into account general trends and seasonal variability whilst ignoring noise. Python is an ideal language for building custom systems to do this kind of work as it gives us access to a rich ecosystem of libraries such as Pandas and Numpy, in addition to TensorFlow itself.]]>
In this talk I'll discuss how we can combine the power of PostgreSQL with TensorFlow to perform data analysis. By using the pl/python3 procedural language we can integrate machine learning libraries such as TensorFlow with PostgreSQL, opening the door for powerful data analytics combining SQL with AI. Typical use-cases might involve regression analysis to find relationships in an existing dataset and to predict results based on new inputs, or to analyse time series data and extrapolate future data taking into account general trends and seasonal variability whilst ignoring noise. Python is an ideal language for building custom systems to do this kind of work as it gives us access to a rich ecosystem of libraries such as Pandas and Numpy, in addition to TensorFlow itself.]]> Thu, 13 May 2021 10:45:38 GMT /slideshow/data-analysis-with-tensorflow-in-postgresql/248307288 EnterpriseDB@slideshare.net(EnterpriseDB) Data Analysis with TensorFlow in PostgreSQL EnterpriseDB In this talk I'll discuss how we can combine the power of PostgreSQL with TensorFlow to perform data analysis. By using the pl/python3 procedural language we can integrate machine learning libraries such as TensorFlow with PostgreSQL, opening the door for powerful data analytics combining SQL with AI. Typical use-cases might involve regression analysis to find relationships in an existing dataset and to predict results based on new inputs, or to analyse time series data and extrapolate future data taking into account general trends and seasonal variability whilst ignoring noise. Python is an ideal language for building custom systems to do this kind of work as it gives us access to a rich ecosystem of libraries such as Pandas and Numpy, in addition to TensorFlow itself. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dataanalysiswithtensorflowinpostgresql-210513104539-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this talk I&#39;ll discuss how we can combine the power of PostgreSQL with TensorFlow to perform data analysis. By using the pl/python3 procedural language we can integrate machine learning libraries such as TensorFlow with PostgreSQL, opening the door for powerful data analytics combining SQL with AI. Typical use-cases might involve regression analysis to find relationships in an existing dataset and to predict results based on new inputs, or to analyse time series data and extrapolate future data taking into account general trends and seasonal variability whilst ignoring noise. Python is an ideal language for building custom systems to do this kind of work as it gives us access to a rich ecosystem of libraries such as Pandas and Numpy, in addition to TensorFlow itself.
Data Analysis with TensorFlow in PostgreSQL from EDB
]]> 307 0 https://cdn.slidesharecdn.com/ss_thumbnails/dataanalysiswithtensorflowinpostgresql-210513104539-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Practical Partitioning in Production with Postgres /slideshow/practical-partitioning-in-production-with-postgres/248307278 practicalpartitioninginproductionwithpg-210513104416
Has your table become too large to handle? Have you thought about chopping it up into smaller pieces that are easier to query and maintain? What if it's in constant use? An introduction to the problems that can arise and how PostgreSQL's partitioning features can help, followed by a real-world scenario of partitioning an existing huge table on a live system. We will be looking at the problems caused by having very large tables in your database and how declarative table partitioning in Postgres can help. Also, how to perform dimensioning before but also after creating huge tables, partitioning key selection, the importance of upgrading to get the latest Postgres features and finally we will dive into a real-world scenario of having to partition an existing huge table in use on a production system.]]>
Has your table become too large to handle? Have you thought about chopping it up into smaller pieces that are easier to query and maintain? What if it's in constant use? An introduction to the problems that can arise and how PostgreSQL's partitioning features can help, followed by a real-world scenario of partitioning an existing huge table on a live system. We will be looking at the problems caused by having very large tables in your database and how declarative table partitioning in Postgres can help. Also, how to perform dimensioning before but also after creating huge tables, partitioning key selection, the importance of upgrading to get the latest Postgres features and finally we will dive into a real-world scenario of having to partition an existing huge table in use on a production system.]]> Thu, 13 May 2021 10:44:15 GMT /slideshow/practical-partitioning-in-production-with-postgres/248307278 EnterpriseDB@slideshare.net(EnterpriseDB) Practical Partitioning in Production with Postgres EnterpriseDB Has your table become too large to handle? Have you thought about chopping it up into smaller pieces that are easier to query and maintain? What if it's in constant use? An introduction to the problems that can arise and how PostgreSQL's partitioning features can help, followed by a real-world scenario of partitioning an existing huge table on a live system. We will be looking at the problems caused by having very large tables in your database and how declarative table partitioning in Postgres can help. Also, how to perform dimensioning before but also after creating huge tables, partitioning key selection, the importance of upgrading to get the latest Postgres features and finally we will dive into a real-world scenario of having to partition an existing huge table in use on a production system. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/practicalpartitioninginproductionwithpg-210513104416-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Has your table become too large to handle? Have you thought about chopping it up into smaller pieces that are easier to query and maintain? What if it&#39;s in constant use? An introduction to the problems that can arise and how PostgreSQL&#39;s partitioning features can help, followed by a real-world scenario of partitioning an existing huge table on a live system. We will be looking at the problems caused by having very large tables in your database and how declarative table partitioning in Postgres can help. Also, how to perform dimensioning before but also after creating huge tables, partitioning key selection, the importance of upgrading to get the latest Postgres features and finally we will dive into a real-world scenario of having to partition an existing huge table in use on a production system.
Practical Partitioning in Production with Postgres from EDB
]]> 468 0 https://cdn.slidesharecdn.com/ss_thumbnails/practicalpartitioninginproductionwithpg-210513104416-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 A Deeper Dive into EXPLAIN /slideshow/a-deeper-dive-into-explain/248307273 adeeperdiveintoexplain-210513104247
There have been plenty of 鈥渆xplaining EXPLAIN鈥 type talks over the years, which provide a great introduction to it. They often also cover how to identify a few of the more common issues through it. EXPLAIN is a deep topic though, and to do a good introduction talk, you have to skip over a lot of the tricky bits. As such, this talk will not be a good introduction to EXPLAIN, but instead a deeper dive into some of the things most don鈥檛 cover. The idea is to start with some of the more complex and unintuitive calculations needed to work out the relationships between operations, rows, threads, loops, timings, buffers, CTEs and subplans. Most popular tools handle at least several of these well, but there are cases where they don鈥檛 that are worth being conscious of and alert to. For example, we鈥檒l have a look at whether certain numbers are averaged per-loop or per-thread, or both. We鈥檒l also cover a resulting rounding issue or two to be on the lookout for. Finally, some per-operation timing quirks are worth looking out for where CTEs and subqueries are concerned, for example CTEs that are referenced more than once. As time allows, we can also look at a few rarer issues that can be spotted via EXPLAIN, as well as a few more gotchas that we鈥檝e picked up along the way. This includes things like spotting when the query is JIT, planning, or trigger time dominated, spotting the signs of table and index bloat, issues like lossy bitmap scans or index-only scans fetching from the heap, as well as some things to be aware of when using auto_explain.]]>
There have been plenty of 鈥渆xplaining EXPLAIN鈥 type talks over the years, which provide a great introduction to it. They often also cover how to identify a few of the more common issues through it. EXPLAIN is a deep topic though, and to do a good introduction talk, you have to skip over a lot of the tricky bits. As such, this talk will not be a good introduction to EXPLAIN, but instead a deeper dive into some of the things most don鈥檛 cover. The idea is to start with some of the more complex and unintuitive calculations needed to work out the relationships between operations, rows, threads, loops, timings, buffers, CTEs and subplans. Most popular tools handle at least several of these well, but there are cases where they don鈥檛 that are worth being conscious of and alert to. For example, we鈥檒l have a look at whether certain numbers are averaged per-loop or per-thread, or both. We鈥檒l also cover a resulting rounding issue or two to be on the lookout for. Finally, some per-operation timing quirks are worth looking out for where CTEs and subqueries are concerned, for example CTEs that are referenced more than once. As time allows, we can also look at a few rarer issues that can be spotted via EXPLAIN, as well as a few more gotchas that we鈥檝e picked up along the way. This includes things like spotting when the query is JIT, planning, or trigger time dominated, spotting the signs of table and index bloat, issues like lossy bitmap scans or index-only scans fetching from the heap, as well as some things to be aware of when using auto_explain.]]> Thu, 13 May 2021 10:42:47 GMT /slideshow/a-deeper-dive-into-explain/248307273 EnterpriseDB@slideshare.net(EnterpriseDB) A Deeper Dive into EXPLAIN EnterpriseDB There have been plenty of 鈥渆xplaining EXPLAIN鈥 type talks over the years, which provide a great introduction to it. They often also cover how to identify a few of the more common issues through it. EXPLAIN is a deep topic though, and to do a good introduction talk, you have to skip over a lot of the tricky bits. As such, this talk will not be a good introduction to EXPLAIN, but instead a deeper dive into some of the things most don鈥檛 cover. The idea is to start with some of the more complex and unintuitive calculations needed to work out the relationships between operations, rows, threads, loops, timings, buffers, CTEs and subplans. Most popular tools handle at least several of these well, but there are cases where they don鈥檛 that are worth being conscious of and alert to. For example, we鈥檒l have a look at whether certain numbers are averaged per-loop or per-thread, or both. We鈥檒l also cover a resulting rounding issue or two to be on the lookout for. Finally, some per-operation timing quirks are worth looking out for where CTEs and subqueries are concerned, for example CTEs that are referenced more than once. As time allows, we can also look at a few rarer issues that can be spotted via EXPLAIN, as well as a few more gotchas that we鈥檝e picked up along the way. This includes things like spotting when the query is JIT, planning, or trigger time dominated, spotting the signs of table and index bloat, issues like lossy bitmap scans or index-only scans fetching from the heap, as well as some things to be aware of when using auto_explain. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/adeeperdiveintoexplain-210513104247-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> There have been plenty of 鈥渆xplaining EXPLAIN鈥 type talks over the years, which provide a great introduction to it. They often also cover how to identify a few of the more common issues through it. EXPLAIN is a deep topic though, and to do a good introduction talk, you have to skip over a lot of the tricky bits. As such, this talk will not be a good introduction to EXPLAIN, but instead a deeper dive into some of the things most don鈥檛 cover. The idea is to start with some of the more complex and unintuitive calculations needed to work out the relationships between operations, rows, threads, loops, timings, buffers, CTEs and subplans. Most popular tools handle at least several of these well, but there are cases where they don鈥檛 that are worth being conscious of and alert to. For example, we鈥檒l have a look at whether certain numbers are averaged per-loop or per-thread, or both. We鈥檒l also cover a resulting rounding issue or two to be on the lookout for. Finally, some per-operation timing quirks are worth looking out for where CTEs and subqueries are concerned, for example CTEs that are referenced more than once. As time allows, we can also look at a few rarer issues that can be spotted via EXPLAIN, as well as a few more gotchas that we鈥檝e picked up along the way. This includes things like spotting when the query is JIT, planning, or trigger time dominated, spotting the signs of table and index bloat, issues like lossy bitmap scans or index-only scans fetching from the heap, as well as some things to be aware of when using auto_explain.
A Deeper Dive into EXPLAIN from EDB
]]> 193 0 https://cdn.slidesharecdn.com/ss_thumbnails/adeeperdiveintoexplain-210513104247-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 IOT with PostgreSQL /slideshow/iot-with-postgresql/248307257 postgresqlforiotpostgreslondon-210513103925
Internet of Things is a currently a burgeoning market, and is often associated with specialized data-stores. However PostgreSQL is just as capable at this use-case and can offer some compelling advantages. We鈥檒l explore ways to store IoT data in PostgreSQL covering various ways to store and structure this kind of data. How range types and differing types of indexes can be of use. Also taking a quick look at some extensions designed for this use case. Then looking at powerful SQL features which can really help when analyzing IoT data streams, and how the power of a real SQL database can be a key advantage.]]>
Internet of Things is a currently a burgeoning market, and is often associated with specialized data-stores. However PostgreSQL is just as capable at this use-case and can offer some compelling advantages. We鈥檒l explore ways to store IoT data in PostgreSQL covering various ways to store and structure this kind of data. How range types and differing types of indexes can be of use. Also taking a quick look at some extensions designed for this use case. Then looking at powerful SQL features which can really help when analyzing IoT data streams, and how the power of a real SQL database can be a key advantage.]]> Thu, 13 May 2021 10:39:25 GMT /slideshow/iot-with-postgresql/248307257 EnterpriseDB@slideshare.net(EnterpriseDB) IOT with PostgreSQL EnterpriseDB Internet of Things is a currently a burgeoning market, and is often associated with specialized data-stores. However PostgreSQL is just as capable at this use-case and can offer some compelling advantages. We鈥檒l explore ways to store IoT data in PostgreSQL covering various ways to store and structure this kind of data. How range types and differing types of indexes can be of use. Also taking a quick look at some extensions designed for this use case. Then looking at powerful SQL features which can really help when analyzing IoT data streams, and how the power of a real SQL database can be a key advantage. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/postgresqlforiotpostgreslondon-210513103925-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Internet of Things is a currently a burgeoning market, and is often associated with specialized data-stores. However PostgreSQL is just as capable at this use-case and can offer some compelling advantages. We鈥檒l explore ways to store IoT data in PostgreSQL covering various ways to store and structure this kind of data. How range types and differing types of indexes can be of use. Also taking a quick look at some extensions designed for this use case. Then looking at powerful SQL features which can really help when analyzing IoT data streams, and how the power of a real SQL database can be a key advantage.
IOT with PostgreSQL from EDB
]]> 179 0 https://cdn.slidesharecdn.com/ss_thumbnails/postgresqlforiotpostgreslondon-210513103925-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 A Journey from Oracle to PostgreSQL /slideshow/a-journey-from-oracle-to-postgresql/248307245 oracle2pg-210513103722
I would like you to join me on our journey from a complex, multi instance Oracle topology to a single logical database in PostgreSQL. Each technology and architectural decision point will be discussed describing how we arrived at our destination. There are five keys areas that will be covered: - Target architecture - Migration of database objects (tables, indexes, views, synonyms, etc) - Migration of database code (packages, functions, procedures, triggers) - Application tier - Migration of Data - with minimal downtime during cutover The target architecture is a BDR cluster, where the physical data model and data stored is different between the logical standbys and the lead master/shadow master. Will discuss how this allowed for the simplification of the topology, and the benefits this delivered. Before you go there, yes I know PostgreSQL does no have synonyms, but an alternative approach was needed. There is a significant amount of business logic in the database tier all of which needed to be translated into database code. Will look at the tools and extensions available to reproduce the functionality in PostgreSQL. Look at common non-ISO standard SQL embedded in the application tier, along with jdbc challenges. Finally a look at some of the data movement tools available. Full disclosure, we are still on the journey but have learnt a lot on the way.]]>
I would like you to join me on our journey from a complex, multi instance Oracle topology to a single logical database in PostgreSQL. Each technology and architectural decision point will be discussed describing how we arrived at our destination. There are five keys areas that will be covered: - Target architecture - Migration of database objects (tables, indexes, views, synonyms, etc) - Migration of database code (packages, functions, procedures, triggers) - Application tier - Migration of Data - with minimal downtime during cutover The target architecture is a BDR cluster, where the physical data model and data stored is different between the logical standbys and the lead master/shadow master. Will discuss how this allowed for the simplification of the topology, and the benefits this delivered. Before you go there, yes I know PostgreSQL does no have synonyms, but an alternative approach was needed. There is a significant amount of business logic in the database tier all of which needed to be translated into database code. Will look at the tools and extensions available to reproduce the functionality in PostgreSQL. Look at common non-ISO standard SQL embedded in the application tier, along with jdbc challenges. Finally a look at some of the data movement tools available. Full disclosure, we are still on the journey but have learnt a lot on the way.]]> Thu, 13 May 2021 10:37:22 GMT /slideshow/a-journey-from-oracle-to-postgresql/248307245 EnterpriseDB@slideshare.net(EnterpriseDB) A Journey from Oracle to PostgreSQL EnterpriseDB I would like you to join me on our journey from a complex, multi instance Oracle topology to a single logical database in PostgreSQL. Each technology and architectural decision point will be discussed describing how we arrived at our destination. There are five keys areas that will be covered: - Target architecture - Migration of database objects (tables, indexes, views, synonyms, etc) - Migration of database code (packages, functions, procedures, triggers) - Application tier - Migration of Data - with minimal downtime during cutover The target architecture is a BDR cluster, where the physical data model and data stored is different between the logical standbys and the lead master/shadow master. Will discuss how this allowed for the simplification of the topology, and the benefits this delivered. Before you go there, yes I know PostgreSQL does no have synonyms, but an alternative approach was needed. There is a significant amount of business logic in the database tier all of which needed to be translated into database code. Will look at the tools and extensions available to reproduce the functionality in PostgreSQL. Look at common non-ISO standard SQL embedded in the application tier, along with jdbc challenges. Finally a look at some of the data movement tools available. Full disclosure, we are still on the journey but have learnt a lot on the way. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/oracle2pg-210513103722-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> I would like you to join me on our journey from a complex, multi instance Oracle topology to a single logical database in PostgreSQL. Each technology and architectural decision point will be discussed describing how we arrived at our destination. There are five keys areas that will be covered: - Target architecture - Migration of database objects (tables, indexes, views, synonyms, etc) - Migration of database code (packages, functions, procedures, triggers) - Application tier - Migration of Data - with minimal downtime during cutover The target architecture is a BDR cluster, where the physical data model and data stored is different between the logical standbys and the lead master/shadow master. Will discuss how this allowed for the simplification of the topology, and the benefits this delivered. Before you go there, yes I know PostgreSQL does no have synonyms, but an alternative approach was needed. There is a significant amount of business logic in the database tier all of which needed to be translated into database code. Will look at the tools and extensions available to reproduce the functionality in PostgreSQL. Look at common non-ISO standard SQL embedded in the application tier, along with jdbc challenges. Finally a look at some of the data movement tools available. Full disclosure, we are still on the journey but have learnt a lot on the way.
A Journey from Oracle to PostgreSQL from EDB
]]> 239 0 https://cdn.slidesharecdn.com/ss_thumbnails/oracle2pg-210513103722-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Psql is awesome! /slideshow/psql-is-awesome/248306932 psqlisawesome-210513094710
The proposed talk will go through several questions. The first obvious one is why would I bother learn CLI when I can do whatever I need with a GUI tool? We'll try to answer why knowing CLI is a MUST for some people (like Postgres DBAs, for example) whereas it's only a bonus for others (like data scientists, for example). Then we'll go through the basics about 101 (how to connect to, interactive mode versus not interactive more, how to set psql environment to work comfortably and so on...) The last part will be about tips and tricks that will make anyone's journey with psql more effective and enjoyable. I'm looking for the "TIL" effect in people's eyes.]]>
The proposed talk will go through several questions. The first obvious one is why would I bother learn CLI when I can do whatever I need with a GUI tool? We'll try to answer why knowing CLI is a MUST for some people (like Postgres DBAs, for example) whereas it's only a bonus for others (like data scientists, for example). Then we'll go through the basics about 101 (how to connect to, interactive mode versus not interactive more, how to set psql environment to work comfortably and so on...) The last part will be about tips and tricks that will make anyone's journey with psql more effective and enjoyable. I'm looking for the "TIL" effect in people's eyes.]]> Thu, 13 May 2021 09:47:09 GMT /slideshow/psql-is-awesome/248306932 EnterpriseDB@slideshare.net(EnterpriseDB) Psql is awesome! EnterpriseDB The proposed talk will go through several questions. The first obvious one is why would I bother learn CLI when I can do whatever I need with a GUI tool? We'll try to answer why knowing CLI is a MUST for some people (like Postgres DBAs, for example) whereas it's only a bonus for others (like data scientists, for example). Then we'll go through the basics about 101 (how to connect to, interactive mode versus not interactive more, how to set psql environment to work comfortably and so on...) The last part will be about tips and tricks that will make anyone's journey with psql more effective and enjoyable. I'm looking for the "TIL" effect in people's eyes. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/psqlisawesome-210513094710-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The proposed talk will go through several questions. The first obvious one is why would I bother learn CLI when I can do whatever I need with a GUI tool? We&#39;ll try to answer why knowing CLI is a MUST for some people (like Postgres DBAs, for example) whereas it&#39;s only a bonus for others (like data scientists, for example). Then we&#39;ll go through the basics about 101 (how to connect to, interactive mode versus not interactive more, how to set psql environment to work comfortably and so on...) The last part will be about tips and tricks that will make anyone&#39;s journey with psql more effective and enjoyable. I&#39;m looking for the &quot;TIL&quot; effect in people&#39;s eyes.
Psql is awesome! from EDB
]]> 130 0 https://cdn.slidesharecdn.com/ss_thumbnails/psqlisawesome-210513094710-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 EDB 13 - New Enhancements for Security and Usability - APJ /slideshow/edb-13-new-enhancements-for-security-and-usability-apj/246753613 edb13-newenhancementsforsecurityandusabilityapj-210422142740
Database security is always of paramount importance to all organizations. In this webinar, we will explore the security, usability, and portability updates of the latest version of the EDB database server and tools. Join us in this webinar to learn: - The new security features such as SCRAM and the encryption of database passwords and traffic between Failover Manager agents - Usability updates that automate partitioning, verify backup integrity, and streamline the management of failover and backups - Portability improvements that simplify running PostgreSQL across on-premise and cloud environments]]>
Database security is always of paramount importance to all organizations. In this webinar, we will explore the security, usability, and portability updates of the latest version of the EDB database server and tools. Join us in this webinar to learn: - The new security features such as SCRAM and the encryption of database passwords and traffic between Failover Manager agents - Usability updates that automate partitioning, verify backup integrity, and streamline the management of failover and backups - Portability improvements that simplify running PostgreSQL across on-premise and cloud environments]]> Thu, 22 Apr 2021 14:27:40 GMT /slideshow/edb-13-new-enhancements-for-security-and-usability-apj/246753613 EnterpriseDB@slideshare.net(EnterpriseDB) EDB 13 - New Enhancements for Security and Usability - APJ EnterpriseDB Database security is always of paramount importance to all organizations. In this webinar, we will explore the security, usability, and portability updates of the latest version of the EDB database server and tools. Join us in this webinar to learn: - The new security features such as SCRAM and the encryption of database passwords and traffic between Failover Manager agents - Usability updates that automate partitioning, verify backup integrity, and streamline the management of failover and backups - Portability improvements that simplify running PostgreSQL across on-premise and cloud environments <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/edb13-newenhancementsforsecurityandusabilityapj-210422142740-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Database security is always of paramount importance to all organizations. In this webinar, we will explore the security, usability, and portability updates of the latest version of the EDB database server and tools. Join us in this webinar to learn: - The new security features such as SCRAM and the encryption of database passwords and traffic between Failover Manager agents - Usability updates that automate partitioning, verify backup integrity, and streamline the management of failover and backups - Portability improvements that simplify running PostgreSQL across on-premise and cloud environments
EDB 13 - New Enhancements for Security and Usability - APJ from EDB
]]> 337 0 https://cdn.slidesharecdn.com/ss_thumbnails/edb13-newenhancementsforsecurityandusabilityapj-210422142740-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Comment sauvegarder correctement vos donn茅es https://fr.slideshare.net/slideshow/comment-sauvegarder-correctement-vos-donnes/246562907 commentsauvegardercorrectementvosdonnees-210420161703
Dans ce webinar, nous allons parler des diff茅rences entre une sauvegarde physique et une sauvegarde logique. Nous allons lister les avantages et inconv茅nients, les principales consid茅rations et les outils disponibles pour les deux m茅thodes. - Perte de donn茅es - Exports logiques - Standbys - WALs et Recovery - Snapshots VM/Disques - Sauvegardes physique - Conclusion ]]>
Dans ce webinar, nous allons parler des diff茅rences entre une sauvegarde physique et une sauvegarde logique. Nous allons lister les avantages et inconv茅nients, les principales consid茅rations et les outils disponibles pour les deux m茅thodes. - Perte de donn茅es - Exports logiques - Standbys - WALs et Recovery - Snapshots VM/Disques - Sauvegardes physique - Conclusion ]]> Tue, 20 Apr 2021 16:17:03 GMT https://fr.slideshare.net/slideshow/comment-sauvegarder-correctement-vos-donnes/246562907 EnterpriseDB@slideshare.net(EnterpriseDB) Comment sauvegarder correctement vos donn茅es EnterpriseDB Dans ce webinar, nous allons parler des diff茅rences entre une sauvegarde physique et une sauvegarde logique. Nous allons lister les avantages et inconv茅nients, les principales consid茅rations et les outils disponibles pour les deux m茅thodes. - Perte de donn茅es - Exports logiques - Standbys - WALs et Recovery - Snapshots VM/Disques - Sauvegardes physique - Conclusion <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/commentsauvegardercorrectementvosdonnees-210420161703-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Dans ce webinar, nous allons parler des diff茅rences entre une sauvegarde physique et une sauvegarde logique. Nous allons lister les avantages et inconv茅nients, les principales consid茅rations et les outils disponibles pour les deux m茅thodes. - Perte de donn茅es - Exports logiques - Standbys - WALs et Recovery - Snapshots VM/Disques - Sauvegardes physique - Conclusion
from EDB
]]> 297 0 https://cdn.slidesharecdn.com/ss_thumbnails/commentsauvegardercorrectementvosdonnees-210420161703-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Cloud Native PostgreSQL - Italiano /slideshow/cloud-native-postgresql-italiano/246281143 webinar210415-cloudnativepostgresqlbyedb-1-210415170247
Vieni a scoprire Cloud Native PostgreSQL (CNP), l鈥檕peratore per Kubernetes, direttamente da coloro che lo hanno ideato e lo sviluppano in EDB. CNP facilita l鈥檌ntegrazione di database PostgreSQL con le tue applicazioni all鈥檌nterno di cluster Kubernetes e OpenShift Container Platform di RedHat, grazie alla sua gestione automatica dell鈥檃rchitettura primario/standby che include: self-healing, failover, switchover, rolling update, backup, ecc. Durante il webinar affronteremo i seguenti punti: - DevOps e Cloud Native - Introduzione a Cloud Native PostgreSQL - Architetture - Caratteristiche principali - Esempi di uso e configurazione - Kubernetes, Storage e Postgres - Demo - Conclusioni]]>
Vieni a scoprire Cloud Native PostgreSQL (CNP), l鈥檕peratore per Kubernetes, direttamente da coloro che lo hanno ideato e lo sviluppano in EDB. CNP facilita l鈥檌ntegrazione di database PostgreSQL con le tue applicazioni all鈥檌nterno di cluster Kubernetes e OpenShift Container Platform di RedHat, grazie alla sua gestione automatica dell鈥檃rchitettura primario/standby che include: self-healing, failover, switchover, rolling update, backup, ecc. Durante il webinar affronteremo i seguenti punti: - DevOps e Cloud Native - Introduzione a Cloud Native PostgreSQL - Architetture - Caratteristiche principali - Esempi di uso e configurazione - Kubernetes, Storage e Postgres - Demo - Conclusioni]]> Thu, 15 Apr 2021 17:02:47 GMT /slideshow/cloud-native-postgresql-italiano/246281143 EnterpriseDB@slideshare.net(EnterpriseDB) Cloud Native PostgreSQL - Italiano EnterpriseDB Vieni a scoprire Cloud Native PostgreSQL (CNP), l鈥檕peratore per Kubernetes, direttamente da coloro che lo hanno ideato e lo sviluppano in EDB. CNP facilita l鈥檌ntegrazione di database PostgreSQL con le tue applicazioni all鈥檌nterno di cluster Kubernetes e OpenShift Container Platform di RedHat, grazie alla sua gestione automatica dell鈥檃rchitettura primario/standby che include: self-healing, failover, switchover, rolling update, backup, ecc. Durante il webinar affronteremo i seguenti punti: - DevOps e Cloud Native - Introduzione a Cloud Native PostgreSQL - Architetture - Caratteristiche principali - Esempi di uso e configurazione - Kubernetes, Storage e Postgres - Demo - Conclusioni <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/webinar210415-cloudnativepostgresqlbyedb-1-210415170247-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Vieni a scoprire Cloud Native PostgreSQL (CNP), l鈥檕peratore per Kubernetes, direttamente da coloro che lo hanno ideato e lo sviluppano in EDB. CNP facilita l鈥檌ntegrazione di database PostgreSQL con le tue applicazioni all鈥檌nterno di cluster Kubernetes e OpenShift Container Platform di RedHat, grazie alla sua gestione automatica dell鈥檃rchitettura primario/standby che include: self-healing, failover, switchover, rolling update, backup, ecc. Durante il webinar affronteremo i seguenti punti: - DevOps e Cloud Native - Introduzione a Cloud Native PostgreSQL - Architetture - Caratteristiche principali - Esempi di uso e configurazione - Kubernetes, Storage e Postgres - Demo - Conclusioni
Cloud Native PostgreSQL - Italiano from EDB
]]> 421 0 https://cdn.slidesharecdn.com/ss_thumbnails/webinar210415-cloudnativepostgresqlbyedb-1-210415170247-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 New enhancements for security and usability in EDB 13 /slideshow/new-enhancements-for-security-and-usability-in-edb-13-245326854/245326854 emea2021q1-0330-newenhancementsforsecurityandusabilityinedb13-210330100050
EDB 13 enhances our flagship database server and tools. This webinar will explore its security, usability, and portability updates. Join us to learn how EDB 13 can help you improve your PostgreSQL productivity and data protection. Webinar highlights include: - New security features such as SCRAM and the encryption of database passwords and traffic between Failover Manager agents - Usability updates that automate partitioning, verify backup integrity and streamline the management of failover and backups - Portability improvements that simplify running PostgreSQL across on-premise and cloud environments]]>
EDB 13 enhances our flagship database server and tools. This webinar will explore its security, usability, and portability updates. Join us to learn how EDB 13 can help you improve your PostgreSQL productivity and data protection. Webinar highlights include: - New security features such as SCRAM and the encryption of database passwords and traffic between Failover Manager agents - Usability updates that automate partitioning, verify backup integrity and streamline the management of failover and backups - Portability improvements that simplify running PostgreSQL across on-premise and cloud environments]]> Tue, 30 Mar 2021 10:00:49 GMT /slideshow/new-enhancements-for-security-and-usability-in-edb-13-245326854/245326854 EnterpriseDB@slideshare.net(EnterpriseDB) New enhancements for security and usability in EDB 13 EnterpriseDB EDB 13 enhances our flagship database server and tools. This webinar will explore its security, usability, and portability updates. Join us to learn how EDB 13 can help you improve your PostgreSQL productivity and data protection. Webinar highlights include: - New security features such as SCRAM and the encryption of database passwords and traffic between Failover Manager agents - Usability updates that automate partitioning, verify backup integrity and streamline the management of failover and backups - Portability improvements that simplify running PostgreSQL across on-premise and cloud environments <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/emea2021q1-0330-newenhancementsforsecurityandusabilityinedb13-210330100050-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> EDB 13 enhances our flagship database server and tools. This webinar will explore its security, usability, and portability updates. Join us to learn how EDB 13 can help you improve your PostgreSQL productivity and data protection. Webinar highlights include: - New security features such as SCRAM and the encryption of database passwords and traffic between Failover Manager agents - Usability updates that automate partitioning, verify backup integrity and streamline the management of failover and backups - Portability improvements that simplify running PostgreSQL across on-premise and cloud environments
New enhancements for security and usability in EDB 13 from EDB
]]> 326 0 https://cdn.slidesharecdn.com/ss_thumbnails/emea2021q1-0330-newenhancementsforsecurityandusabilityinedb13-210330100050-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Best Practices in Security with PostgreSQL /slideshow/best-practices-in-security-with-postgresql-244933022/244933022 bestpracticesinsecuritywithpostgresql-210323123605
The webinar will review a multi-layered framework for PostgreSQL security, with a deeper focus on limiting access to the database and data, as well as securing the data. Using the popular AAA (Authentication, Authorization, Auditing) framework we will cover: - Best practices for authentication (trust, certificate, MD5, Scram, etc). - Advanced approaches, such as password profiles. - Deep dive of authorization and data access control for roles, database objects (tables, etc), view usage, row-level security, and data redaction. - Auditing, encryption, and SQL injection attack prevention. Note: this session is delivered in German Speaker: Borys Neselovskyi, Sales Engineer, EDB]]>
The webinar will review a multi-layered framework for PostgreSQL security, with a deeper focus on limiting access to the database and data, as well as securing the data. Using the popular AAA (Authentication, Authorization, Auditing) framework we will cover: - Best practices for authentication (trust, certificate, MD5, Scram, etc). - Advanced approaches, such as password profiles. - Deep dive of authorization and data access control for roles, database objects (tables, etc), view usage, row-level security, and data redaction. - Auditing, encryption, and SQL injection attack prevention. Note: this session is delivered in German Speaker: Borys Neselovskyi, Sales Engineer, EDB]]> Tue, 23 Mar 2021 12:36:04 GMT /slideshow/best-practices-in-security-with-postgresql-244933022/244933022 EnterpriseDB@slideshare.net(EnterpriseDB) Best Practices in Security with PostgreSQL EnterpriseDB The webinar will review a multi-layered framework for PostgreSQL security, with a deeper focus on limiting access to the database and data, as well as securing the data. Using the popular AAA (Authentication, Authorization, Auditing) framework we will cover: - Best practices for authentication (trust, certificate, MD5, Scram, etc). - Advanced approaches, such as password profiles. - Deep dive of authorization and data access control for roles, database objects (tables, etc), view usage, row-level security, and data redaction. - Auditing, encryption, and SQL injection attack prevention. Note: this session is delivered in German Speaker: Borys Neselovskyi, Sales Engineer, EDB <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bestpracticesinsecuritywithpostgresql-210323123605-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The webinar will review a multi-layered framework for PostgreSQL security, with a deeper focus on limiting access to the database and data, as well as securing the data. Using the popular AAA (Authentication, Authorization, Auditing) framework we will cover: - Best practices for authentication (trust, certificate, MD5, Scram, etc). - Advanced approaches, such as password profiles. - Deep dive of authorization and data access control for roles, database objects (tables, etc), view usage, row-level security, and data redaction. - Auditing, encryption, and SQL injection attack prevention. Note: this session is delivered in German Speaker: Borys Neselovskyi, Sales Engineer, EDB
Best Practices in Security with PostgreSQL from EDB
]]> 464 0 https://cdn.slidesharecdn.com/ss_thumbnails/bestpracticesinsecuritywithpostgresql-210323123605-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Cloud Native PostgreSQL - APJ /slideshow/cloud-native-postgresql-apj/244686248 apjwebinar-edbcloudnativepostgresqlmar182021-210318191104
EDB Cloud Native Postgres includes database container images and a Kubernetes Operator that manage the lifecycle of a database from deployment to operations. This Kubernetes Operator for Postgres is written by EDB entirely from scratch in the Go language and relies exclusively on the Kubernetes API. Attend this webinar to learn about: - DevOps & Cloud Native - Overview of Cloud Native Postgres - Storage for Postgres workloads in Kubernetes - Using Cloud Native Postgres - Demo]]>
EDB Cloud Native Postgres includes database container images and a Kubernetes Operator that manage the lifecycle of a database from deployment to operations. This Kubernetes Operator for Postgres is written by EDB entirely from scratch in the Go language and relies exclusively on the Kubernetes API. Attend this webinar to learn about: - DevOps & Cloud Native - Overview of Cloud Native Postgres - Storage for Postgres workloads in Kubernetes - Using Cloud Native Postgres - Demo]]> Thu, 18 Mar 2021 19:11:04 GMT /slideshow/cloud-native-postgresql-apj/244686248 EnterpriseDB@slideshare.net(EnterpriseDB) Cloud Native PostgreSQL - APJ EnterpriseDB EDB Cloud Native Postgres includes database container images and a Kubernetes Operator that manage the lifecycle of a database from deployment to operations. This Kubernetes Operator for Postgres is written by EDB entirely from scratch in the Go language and relies exclusively on the Kubernetes API. Attend this webinar to learn about: - DevOps & Cloud Native - Overview of Cloud Native Postgres - Storage for Postgres workloads in Kubernetes - Using Cloud Native Postgres - Demo <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/apjwebinar-edbcloudnativepostgresqlmar182021-210318191104-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> EDB Cloud Native Postgres includes database container images and a Kubernetes Operator that manage the lifecycle of a database from deployment to operations. This Kubernetes Operator for Postgres is written by EDB entirely from scratch in the Go language and relies exclusively on the Kubernetes API. Attend this webinar to learn about: - DevOps &amp; Cloud Native - Overview of Cloud Native Postgres - Storage for Postgres workloads in Kubernetes - Using Cloud Native Postgres - Demo
Cloud Native PostgreSQL - APJ from EDB
]]> 347 0 https://cdn.slidesharecdn.com/ss_thumbnails/apjwebinar-edbcloudnativepostgresqlmar182021-210318191104-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-EnterpriseDB-48x48.jpg?cb=1674823546 PostgreSQL is increasingly the database of choice for organizations looking to boost innovation and accelerate business. EDB鈥檚 enterprise-class software extends PostgreSQL, helping our customers get the most out of it both on premises and in the cloud. And our 24x7 global support, professional services, and training help our customers control risk, manage costs, and scale efficiently. With 16 offices worldwide, EDB serves over 4,000 customers, including leading financial services, government, media and communications, and information technology organizations. To learn about PostgreSQL for people, teams, and enterprises, visit EDBpostgres.com. www.EDBPostgres.com https://cdn.slidesharecdn.com/ss_thumbnails/march24webinarcloudmigrationpathskubernetesiaasordbaas-220324133744-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/cloud-migration-paths-kubernetes-iaas-or-dbaas/251418304 Cloud Migration Paths:... https://cdn.slidesharecdn.com/ss_thumbnails/2022-03dachdie10bestenpostgresql-replikationsstrategienfrihrunternehmen-220323101443-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/die-10-besten-postgresqlreplikationsstrategien-fr-ihr-unternehmen/251407774 Die 10 besten PostgreS... https://cdn.slidesharecdn.com/ss_thumbnails/2022-03spainmigresusbasesdedatosoraclealanube-220317090411-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/migre-sus-bases-de-datos-oracle-a-la-nube/251367417 Migre sus bases de dat...