ºÝºÝߣshows by User: 777oxy / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: 777oxy / Wed, 19 Feb 2014 06:15:32 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: 777oxy Replicate Oracle to Oracle, �Oracle to MySQL, �and Oracle to Analytics /slideshow/replicate-oracle-to-oracle-oracle-to-mysql-and-oracle-to-analytics/31383142 tungsten-university-replicating-between-oracle-mysql-oracle-vertica-140219061532-phpapp01
Oracle is the most powerful DBMS in the world. However, Oracle's expensive and complex replication makes it difficult to build highly available applications or move data in real-time to data warehouses and popular databases like MySQL. In this webinar you will learn how Continuent Tungsten solves problems with Oracle replication at a fraction of the cost of other solutions and with less management overhead too – think "Oracle GoldenGate without the price tag!" We will demo constructing a highly available site using Oracle-to-Oracle replication. We will then show you how to replicate data in real time from Oracle to MySQL as well as load a data warehouse.]]>

Oracle is the most powerful DBMS in the world. However, Oracle's expensive and complex replication makes it difficult to build highly available applications or move data in real-time to data warehouses and popular databases like MySQL. In this webinar you will learn how Continuent Tungsten solves problems with Oracle replication at a fraction of the cost of other solutions and with less management overhead too – think "Oracle GoldenGate without the price tag!" We will demo constructing a highly available site using Oracle-to-Oracle replication. We will then show you how to replicate data in real time from Oracle to MySQL as well as load a data warehouse.]]>
Wed, 19 Feb 2014 06:15:32 GMT /slideshow/replicate-oracle-to-oracle-oracle-to-mysql-and-oracle-to-analytics/31383142 777oxy@slideshare.net(777oxy) Replicate Oracle to Oracle, �Oracle to MySQL, �and Oracle to Analytics 777oxy Oracle is the most powerful DBMS in the world. However, Oracle's expensive and complex replication makes it difficult to build highly available applications or move data in real-time to data warehouses and popular databases like MySQL. In this webinar you will learn how Continuent Tungsten solves problems with Oracle replication at a fraction of the cost of other solutions and with less management overhead too – think "Oracle GoldenGate without the price tag!" We will demo constructing a highly available site using Oracle-to-Oracle replication. We will then show you how to replicate data in real time from Oracle to MySQL as well as load a data warehouse. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/tungsten-university-replicating-between-oracle-mysql-oracle-vertica-140219061532-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Oracle is the most powerful DBMS in the world. However, Oracle&#39;s expensive and complex replication makes it difficult to build highly available applications or move data in real-time to data warehouses and popular databases like MySQL. In this webinar you will learn how Continuent Tungsten solves problems with Oracle replication at a fraction of the cost of other solutions and with less management overhead too – think &quot;Oracle GoldenGate without the price tag!&quot; We will demo constructing a highly available site using Oracle-to-Oracle replication. We will then show you how to replicate data in real time from Oracle to MySQL as well as load a data warehouse.
Replicate Oracle to Oracle, Oracle to MySQL, and Oracle to Analytics from Linas Virbalas
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Breaking the-database-type-barrier-replicating-across-different-dbms /slideshow/breaking-thedatabasetypebarrierreplicatingacrossdifferentdbms/8990977 breaking-the-database-type-barrier-replicating-across-different-dbms-110824072428-phpapp02
Sharing data between different DBMS types is an inevitable need in Today's diverse IT environments. Need for real-time data integration, seamless migration and data warehousing are the main reasons driving demand for heterogenous replication. In this talk we'll review how open source Tungsten Replicator can replicate data in real-time between databases like MySQL, PostgreSQL, Oracle, MongoDB and others. Join us for this both technical and enlightening talk. We'll cover fundamental steps behind configuring heterogeneous replication, the importance of transaction transforming filters and common challenges rising when replicating cross DBMS-type. We'll conclude with in-line demos to show you how it looks in action.]]>

Sharing data between different DBMS types is an inevitable need in Today's diverse IT environments. Need for real-time data integration, seamless migration and data warehousing are the main reasons driving demand for heterogenous replication. In this talk we'll review how open source Tungsten Replicator can replicate data in real-time between databases like MySQL, PostgreSQL, Oracle, MongoDB and others. Join us for this both technical and enlightening talk. We'll cover fundamental steps behind configuring heterogeneous replication, the importance of transaction transforming filters and common challenges rising when replicating cross DBMS-type. We'll conclude with in-line demos to show you how it looks in action.]]>
Wed, 24 Aug 2011 07:24:26 GMT /slideshow/breaking-thedatabasetypebarrierreplicatingacrossdifferentdbms/8990977 777oxy@slideshare.net(777oxy) Breaking the-database-type-barrier-replicating-across-different-dbms 777oxy Sharing data between different DBMS types is an inevitable need in Today's diverse IT environments. Need for real-time data integration, seamless migration and data warehousing are the main reasons driving demand for heterogenous replication. In this talk we'll review how open source Tungsten Replicator can replicate data in real-time between databases like MySQL, PostgreSQL, Oracle, MongoDB and others. Join us for this both technical and enlightening talk. We'll cover fundamental steps behind configuring heterogeneous replication, the importance of transaction transforming filters and common challenges rising when replicating cross DBMS-type. We'll conclude with in-line demos to show you how it looks in action. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/breaking-the-database-type-barrier-replicating-across-different-dbms-110824072428-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Sharing data between different DBMS types is an inevitable need in Today&#39;s diverse IT environments. Need for real-time data integration, seamless migration and data warehousing are the main reasons driving demand for heterogenous replication. In this talk we&#39;ll review how open source Tungsten Replicator can replicate data in real-time between databases like MySQL, PostgreSQL, Oracle, MongoDB and others. Join us for this both technical and enlightening talk. We&#39;ll cover fundamental steps behind configuring heterogeneous replication, the importance of transaction transforming filters and common challenges rising when replicating cross DBMS-type. We&#39;ll conclude with in-line demos to show you how it looks in action.
Breaking the-database-type-barrier-replicating-across-different-dbms from Linas Virbalas
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Flexible Replication /slideshow/flexible-replication/8066958 flexible-replication-110523065557-phpapp01
First, we'll harness Tungsten Replicator's flexibility to implement heterogeneous replication from MySQL to PostgreSQL. Then, we'll introduce advanced logical replication for PostgreSQL, which opens up new horizons in replication abilities. Finally, we'll take a look at how logical replication enables data replication from PostgreSQL to MySQL.]]>

First, we'll harness Tungsten Replicator's flexibility to implement heterogeneous replication from MySQL to PostgreSQL. Then, we'll introduce advanced logical replication for PostgreSQL, which opens up new horizons in replication abilities. Finally, we'll take a look at how logical replication enables data replication from PostgreSQL to MySQL.]]>
Mon, 23 May 2011 06:55:54 GMT /slideshow/flexible-replication/8066958 777oxy@slideshare.net(777oxy) Flexible Replication 777oxy First, we'll harness Tungsten Replicator's flexibility to implement heterogeneous replication from MySQL to PostgreSQL. Then, we'll introduce advanced logical replication for PostgreSQL, which opens up new horizons in replication abilities. Finally, we'll take a look at how logical replication enables data replication from PostgreSQL to MySQL. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/flexible-replication-110523065557-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> First, we&#39;ll harness Tungsten Replicator&#39;s flexibility to implement heterogeneous replication from MySQL to PostgreSQL. Then, we&#39;ll introduce advanced logical replication for PostgreSQL, which opens up new horizons in replication abilities. Finally, we&#39;ll take a look at how logical replication enables data replication from PostgreSQL to MySQL.
Flexible Replication from Linas Virbalas
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Building Tungsten Clusters with PostgreSQL Hot Standby and Streaming Replication /slideshow/building-tungsten-clusters-with-postgresql-hot-standby-and-streaming-replication/6397014 building-tungsten-clusters-with-postgresql-hot-standby-and-streaming-replication-webinar-101229044055-phpapp02
Hot standby and streaming replication move the needle forward for high availability and scaling for a wide number of applications. Continuent Tungsten has earlier supported PostgreSQL clustering using warm standby. In this talk we will describe how to build clusters using the PostgreSQL 9 features and give our report from the trenches. This talk will cover how PostgreSQL 9 hot standby and streaming replication work from a user perspective, then dive into a description of how Tungsten really makes them to shine. We'll cover the following issues: * Configuration of warm standby and streaming replication * Provisioning new standby instances * Strategies for balancing reads across primary and standby database * Managing failover Please join us for an enlightening presentation a set of PostgreSQL 9 features that are interesting to a wide range of PostgreSQL users.]]>

Hot standby and streaming replication move the needle forward for high availability and scaling for a wide number of applications. Continuent Tungsten has earlier supported PostgreSQL clustering using warm standby. In this talk we will describe how to build clusters using the PostgreSQL 9 features and give our report from the trenches. This talk will cover how PostgreSQL 9 hot standby and streaming replication work from a user perspective, then dive into a description of how Tungsten really makes them to shine. We'll cover the following issues: * Configuration of warm standby and streaming replication * Provisioning new standby instances * Strategies for balancing reads across primary and standby database * Managing failover Please join us for an enlightening presentation a set of PostgreSQL 9 features that are interesting to a wide range of PostgreSQL users.]]>
Wed, 29 Dec 2010 04:40:51 GMT /slideshow/building-tungsten-clusters-with-postgresql-hot-standby-and-streaming-replication/6397014 777oxy@slideshare.net(777oxy) Building Tungsten Clusters with PostgreSQL Hot Standby and Streaming Replication 777oxy Hot standby and streaming replication move the needle forward for high availability and scaling for a wide number of applications. Continuent Tungsten has earlier supported PostgreSQL clustering using warm standby. In this talk we will describe how to build clusters using the PostgreSQL 9 features and give our report from the trenches. This talk will cover how PostgreSQL 9 hot standby and streaming replication work from a user perspective, then dive into a description of how Tungsten really makes them to shine. We'll cover the following issues: * Configuration of warm standby and streaming replication * Provisioning new standby instances * Strategies for balancing reads across primary and standby database * Managing failover Please join us for an enlightening presentation a set of PostgreSQL 9 features that are interesting to a wide range of PostgreSQL users. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/building-tungsten-clusters-with-postgresql-hot-standby-and-streaming-replication-webinar-101229044055-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Hot standby and streaming replication move the needle forward for high availability and scaling for a wide number of applications. Continuent Tungsten has earlier supported PostgreSQL clustering using warm standby. In this talk we will describe how to build clusters using the PostgreSQL 9 features and give our report from the trenches. This talk will cover how PostgreSQL 9 hot standby and streaming replication work from a user perspective, then dive into a description of how Tungsten really makes them to shine. We&#39;ll cover the following issues: * Configuration of warm standby and streaming replication * Provisioning new standby instances * Strategies for balancing reads across primary and standby database * Managing failover Please join us for an enlightening presentation a set of PostgreSQL 9 features that are interesting to a wide range of PostgreSQL users.
Building Tungsten Clusters with PostgreSQL Hot Standby and Streaming Replication from Linas Virbalas
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Living the Easy Life with Rules-Based Autonomic Database Clusters /slideshow/living-the-easy-life-with-rulesbased-autonomic-database-clusters/6390434 living-the-easy-life-with-rules-based-autonomic-database-clusters-char10-101228101909-phpapp02
Our business at Continuent is development of database clusters with highly simplified management and the ability to be operated unattended for prolonged periods of time. As part of our Tungsten Clustering product we developed an extensible, low-latency, fault-tolerant management framework for database clusters built around a core of group communications and business rules. We have found that our system is easy to maintain and to extend. For example, an extension to switch virtual IP addresses in the event of a database node failure was implemented in an afternoon as a set of two rules and a single bash script. In our talk we will cover the following: * Basic architecture of a rules-based management framework for databases * Introduction to business rules, with code examples showing how they work to repair problems ranging from simple process failures to network partitions * A quick demo of business rules in operation. * Finally, some thoughts on the benefits of the approach and our experiences (good and bad) with autonomic management of database clusters. This is an approach to management that we believe will be of interest to anyone who cares about keeping important data highly available as well anyone interested in learning about rules technology.]]>

Our business at Continuent is development of database clusters with highly simplified management and the ability to be operated unattended for prolonged periods of time. As part of our Tungsten Clustering product we developed an extensible, low-latency, fault-tolerant management framework for database clusters built around a core of group communications and business rules. We have found that our system is easy to maintain and to extend. For example, an extension to switch virtual IP addresses in the event of a database node failure was implemented in an afternoon as a set of two rules and a single bash script. In our talk we will cover the following: * Basic architecture of a rules-based management framework for databases * Introduction to business rules, with code examples showing how they work to repair problems ranging from simple process failures to network partitions * A quick demo of business rules in operation. * Finally, some thoughts on the benefits of the approach and our experiences (good and bad) with autonomic management of database clusters. This is an approach to management that we believe will be of interest to anyone who cares about keeping important data highly available as well anyone interested in learning about rules technology.]]>
Tue, 28 Dec 2010 10:19:07 GMT /slideshow/living-the-easy-life-with-rulesbased-autonomic-database-clusters/6390434 777oxy@slideshare.net(777oxy) Living the Easy Life with Rules-Based Autonomic Database Clusters 777oxy Our business at Continuent is development of database clusters with highly simplified management and the ability to be operated unattended for prolonged periods of time. As part of our Tungsten Clustering product we developed an extensible, low-latency, fault-tolerant management framework for database clusters built around a core of group communications and business rules. We have found that our system is easy to maintain and to extend. For example, an extension to switch virtual IP addresses in the event of a database node failure was implemented in an afternoon as a set of two rules and a single bash script. In our talk we will cover the following: * Basic architecture of a rules-based management framework for databases * Introduction to business rules, with code examples showing how they work to repair problems ranging from simple process failures to network partitions * A quick demo of business rules in operation. * Finally, some thoughts on the benefits of the approach and our experiences (good and bad) with autonomic management of database clusters. This is an approach to management that we believe will be of interest to anyone who cares about keeping important data highly available as well anyone interested in learning about rules technology. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/living-the-easy-life-with-rules-based-autonomic-database-clusters-char10-101228101909-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Our business at Continuent is development of database clusters with highly simplified management and the ability to be operated unattended for prolonged periods of time. As part of our Tungsten Clustering product we developed an extensible, low-latency, fault-tolerant management framework for database clusters built around a core of group communications and business rules. We have found that our system is easy to maintain and to extend. For example, an extension to switch virtual IP addresses in the event of a database node failure was implemented in an afternoon as a set of two rules and a single bash script. In our talk we will cover the following: * Basic architecture of a rules-based management framework for databases * Introduction to business rules, with code examples showing how they work to repair problems ranging from simple process failures to network partitions * A quick demo of business rules in operation. * Finally, some thoughts on the benefits of the approach and our experiences (good and bad) with autonomic management of database clusters. This is an approach to management that we believe will be of interest to anyone who cares about keeping important data highly available as well anyone interested in learning about rules technology.
Living the Easy Life with Rules-Based Autonomic Database Clusters from Linas Virbalas
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Liberating Your Data From MySQL: Cross-Database Replication to the Rescue! /slideshow/liberating-your-data-from-mysql-crossdatabase-replication-to-the-rescue/6390294 liberating-your-data-from-mysql-cross-database-replication-to-the-rescue-101228094931-phpapp02
Countless petabytes of data are sitting in MySQL database where they are perfectly useless for PostgreSQL users. Fortunately there is a solution: Tungsten Replicator can move data from MySQL to PostgreSQL, and in real time, too. In this talk we'll describe how to design cross-database replication, then set it up using Tungsten Replicator. We will cover some of the pitfalls and corner cases like SQL dialect differences, data types, character sets, and MySQL bugs that make implementation both exciting and fun. We'll conclude with a demo of database updates moving in real time between databases.]]>

Countless petabytes of data are sitting in MySQL database where they are perfectly useless for PostgreSQL users. Fortunately there is a solution: Tungsten Replicator can move data from MySQL to PostgreSQL, and in real time, too. In this talk we'll describe how to design cross-database replication, then set it up using Tungsten Replicator. We will cover some of the pitfalls and corner cases like SQL dialect differences, data types, character sets, and MySQL bugs that make implementation both exciting and fun. We'll conclude with a demo of database updates moving in real time between databases.]]>
Tue, 28 Dec 2010 09:49:28 GMT /slideshow/liberating-your-data-from-mysql-crossdatabase-replication-to-the-rescue/6390294 777oxy@slideshare.net(777oxy) Liberating Your Data From MySQL: Cross-Database Replication to the Rescue! 777oxy Countless petabytes of data are sitting in MySQL database where they are perfectly useless for PostgreSQL users. Fortunately there is a solution: Tungsten Replicator can move data from MySQL to PostgreSQL, and in real time, too. In this talk we'll describe how to design cross-database replication, then set it up using Tungsten Replicator. We will cover some of the pitfalls and corner cases like SQL dialect differences, data types, character sets, and MySQL bugs that make implementation both exciting and fun. We'll conclude with a demo of database updates moving in real time between databases. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/liberating-your-data-from-mysql-cross-database-replication-to-the-rescue-101228094931-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Countless petabytes of data are sitting in MySQL database where they are perfectly useless for PostgreSQL users. Fortunately there is a solution: Tungsten Replicator can move data from MySQL to PostgreSQL, and in real time, too. In this talk we&#39;ll describe how to design cross-database replication, then set it up using Tungsten Replicator. We will cover some of the pitfalls and corner cases like SQL dialect differences, data types, character sets, and MySQL bugs that make implementation both exciting and fun. We&#39;ll conclude with a demo of database updates moving in real time between databases.
Liberating Your Data From MySQL: Cross-Database Replication to the Rescue! from Linas Virbalas
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https://public.slidesharecdn.com/v2/images/profile-picture.png TBD www.continuent.com https://cdn.slidesharecdn.com/ss_thumbnails/tungsten-university-replicating-between-oracle-mysql-oracle-vertica-140219061532-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/replicate-oracle-to-oracle-oracle-to-mysql-and-oracle-to-analytics/31383142 Replicate Oracle to Or... https://cdn.slidesharecdn.com/ss_thumbnails/breaking-the-database-type-barrier-replicating-across-different-dbms-110824072428-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/breaking-thedatabasetypebarrierreplicatingacrossdifferentdbms/8990977 Breaking the-database-... https://cdn.slidesharecdn.com/ss_thumbnails/flexible-replication-110523065557-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/flexible-replication/8066958 Flexible Replication