際際滷shows by User: Hazelcast / http://www.slideshare.net/images/logo.gif 際際滷shows by User: Hazelcast / Wed, 22 Jul 2015 23:53:04 GMT 際際滷Share feed for 際際滷shows by User: Hazelcast Hazelcast 3.6 Roadmap Preview /slideshow/hazelcast-36-roadmap-preview/50825075 hazelcast3-150722235304-lva1-app6891
In this webinar Hazelcast has pushed the In-Memory Data Grid category further by adding High-Density Caching and making great strides in performance but whats next? In this talk Hazelcast CEO Greg Luck will explain the direction of the Hazelcast platform in detail. Hell share whats planned for features of High-Density Caching as well for the In-Memory Computing platform at large in the areas of PaaS, IaaS, extensions and integrations along with a detailed list of features planned for 3.6. Well cover these topics: -High-level platform roadmap -Detailed list of features planned for 3.6 -Live Q&A Presenter: Greg Luck, CEO at Hazelcast Greg has worked with Java for 15 years. He is spec lead of the recently completed JSR107: JCache and the founder of Ehcache. He is a JCP Executive Committee alumni. Prior to Hazelcast, Greg was CTO at Terracotta, Inc which was acquired by Software AG. He was also Chief Architect at Australian travel startup Wotif.com which went to IPO. Earlier roles include consultant at ThoughtWorks and KPMG, and CIO at Virgin Blue, Tempo Services, Stamford Hotels and Resorts, and Australian Resorts. Greg has a Masters degree in Information Technology from QUT and a Bachelor of Commerce from the University of Queensland. ]]>
In this webinar Hazelcast has pushed the In-Memory Data Grid category further by adding High-Density Caching and making great strides in performance but whats next? In this talk Hazelcast CEO Greg Luck will explain the direction of the Hazelcast platform in detail. Hell share whats planned for features of High-Density Caching as well for the In-Memory Computing platform at large in the areas of PaaS, IaaS, extensions and integrations along with a detailed list of features planned for 3.6. Well cover these topics: -High-level platform roadmap -Detailed list of features planned for 3.6 -Live Q&A Presenter: Greg Luck, CEO at Hazelcast Greg has worked with Java for 15 years. He is spec lead of the recently completed JSR107: JCache and the founder of Ehcache. He is a JCP Executive Committee alumni. Prior to Hazelcast, Greg was CTO at Terracotta, Inc which was acquired by Software AG. He was also Chief Architect at Australian travel startup Wotif.com which went to IPO. Earlier roles include consultant at ThoughtWorks and KPMG, and CIO at Virgin Blue, Tempo Services, Stamford Hotels and Resorts, and Australian Resorts. Greg has a Masters degree in Information Technology from QUT and a Bachelor of Commerce from the University of Queensland. ]]> Wed, 22 Jul 2015 23:53:04 GMT /slideshow/hazelcast-36-roadmap-preview/50825075 Hazelcast@slideshare.net(Hazelcast) Hazelcast 3.6 Roadmap Preview Hazelcast In this webinar Hazelcast has pushed the In-Memory Data Grid category further by adding High-Density Caching and making great strides in performance but whats next? In this talk Hazelcast CEO Greg Luck will explain the direction of the Hazelcast platform in detail. Hell share whats planned for features of High-Density Caching as well for the In-Memory Computing platform at large in the areas of PaaS, IaaS, extensions and integrations along with a detailed list of features planned for 3.6. Well cover these topics: -High-level platform roadmap -Detailed list of features planned for 3.6 -Live Q&A Presenter: Greg Luck, CEO at Hazelcast Greg has worked with Java for 15 years. He is spec lead of the recently completed JSR107: JCache and the founder of Ehcache. He is a JCP Executive Committee alumni. Prior to Hazelcast, Greg was CTO at Terracotta, Inc which was acquired by Software AG. He was also Chief Architect at Australian travel startup Wotif.com which went to IPO. Earlier roles include consultant at ThoughtWorks and KPMG, and CIO at Virgin Blue, Tempo Services, Stamford Hotels and Resorts, and Australian Resorts. Greg has a Masters degree in Information Technology from QUT and a Bachelor of Commerce from the University of Queensland. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hazelcast3-150722235304-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this webinar Hazelcast has pushed the In-Memory Data Grid category further by adding High-Density Caching and making great strides in performance but whats next? In this talk Hazelcast CEO Greg Luck will explain the direction of the Hazelcast platform in detail. Hell share whats planned for features of High-Density Caching as well for the In-Memory Computing platform at large in the areas of PaaS, IaaS, extensions and integrations along with a detailed list of features planned for 3.6. Well cover these topics: -High-level platform roadmap -Detailed list of features planned for 3.6 -Live Q&amp;A Presenter: Greg Luck, CEO at Hazelcast Greg has worked with Java for 15 years. He is spec lead of the recently completed JSR107: JCache and the founder of Ehcache. He is a JCP Executive Committee alumni. Prior to Hazelcast, Greg was CTO at Terracotta, Inc which was acquired by Software AG. He was also Chief Architect at Australian travel startup Wotif.com which went to IPO. Earlier roles include consultant at ThoughtWorks and KPMG, and CIO at Virgin Blue, Tempo Services, Stamford Hotels and Resorts, and Australian Resorts. Greg has a Masters degree in Information Technology from QUT and a Bachelor of Commerce from the University of Queensland.
Hazelcast 3.6 Roadmap Preview from Hazelcast
]]> 1875 5 https://cdn.slidesharecdn.com/ss_thumbnails/hazelcast3-150722235304-lva1-app6891-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 Time to Make the Move to In-Memory Data Grids /slideshow/time-to-make-the-move-to-inmemory-data-grids/50824914 hazelcastfinalpresentation1-150722234507-lva1-app6891
In this webinar DRAM is dirt cheap. Thats why in-memory databases, analytics, and data grids are surging in popularity among firms that have an insatiable need for performance and scalability. But, databases, analytics platforms, and data grids target very different use cases. In-memory data grids, in particular, are often misunderstood because they support an extensive set of use cases that often overlap other technologies. Join guest speaker Mike Gualtieri, Principal Analyst at Forrester Research, Greg Luck, CEO of Hazelcast, and Ken Kolda, Software Architect of Ellie Mae on this radio-show style webinar to boost your in-memory IQ. Well cover these topics: - How in-memory data grid differs from other in-memory technologies - The use cases best suited to in-memory data grids - Real-world Hazelcast customer implementation story]]>
In this webinar DRAM is dirt cheap. Thats why in-memory databases, analytics, and data grids are surging in popularity among firms that have an insatiable need for performance and scalability. But, databases, analytics platforms, and data grids target very different use cases. In-memory data grids, in particular, are often misunderstood because they support an extensive set of use cases that often overlap other technologies. Join guest speaker Mike Gualtieri, Principal Analyst at Forrester Research, Greg Luck, CEO of Hazelcast, and Ken Kolda, Software Architect of Ellie Mae on this radio-show style webinar to boost your in-memory IQ. Well cover these topics: - How in-memory data grid differs from other in-memory technologies - The use cases best suited to in-memory data grids - Real-world Hazelcast customer implementation story]]> Wed, 22 Jul 2015 23:45:07 GMT /slideshow/time-to-make-the-move-to-inmemory-data-grids/50824914 Hazelcast@slideshare.net(Hazelcast) Time to Make the Move to In-Memory Data Grids Hazelcast In this webinar DRAM is dirt cheap. Thats why in-memory databases, analytics, and data grids are surging in popularity among firms that have an insatiable need for performance and scalability. But, databases, analytics platforms, and data grids target very different use cases. In-memory data grids, in particular, are often misunderstood because they support an extensive set of use cases that often overlap other technologies. Join guest speaker Mike Gualtieri, Principal Analyst at Forrester Research, Greg Luck, CEO of Hazelcast, and Ken Kolda, Software Architect of Ellie Mae on this radio-show style webinar to boost your in-memory IQ. Well cover these topics: - How in-memory data grid differs from other in-memory technologies - The use cases best suited to in-memory data grids - Real-world Hazelcast customer implementation story <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hazelcastfinalpresentation1-150722234507-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this webinar DRAM is dirt cheap. Thats why in-memory databases, analytics, and data grids are surging in popularity among firms that have an insatiable need for performance and scalability. But, databases, analytics platforms, and data grids target very different use cases. In-memory data grids, in particular, are often misunderstood because they support an extensive set of use cases that often overlap other technologies. Join guest speaker Mike Gualtieri, Principal Analyst at Forrester Research, Greg Luck, CEO of Hazelcast, and Ken Kolda, Software Architect of Ellie Mae on this radio-show style webinar to boost your in-memory IQ. Well cover these topics: - How in-memory data grid differs from other in-memory technologies - The use cases best suited to in-memory data grids - Real-world Hazelcast customer implementation story
Time to Make the Move to In-Memory Data Grids from Hazelcast
]]> 928 8 https://cdn.slidesharecdn.com/ss_thumbnails/hazelcastfinalpresentation1-150722234507-lva1-app6891-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 The Power of the JVM: Applied Polyglot Projects with Java and JavaScript /slideshow/hz-webinar-2015nashornv10/46566630 hzwebinar2015nashornv10-150402021348-conversion-gate01
In this webinar JavaScript is a powerful, flexible, and dynamically typed language. JVM is proven to be reliable and stable production platform. The power of the JVM is an ability to run programs written in different languages, including JavaScript. You can short the development cycle by leveraging a scripting abilities of JavaScript. This presentation is about JVMs scripting capabilities that allow to mix Java and JavaScript in the same application. In this session youll get introduced to the latest state of the polyglot frameworks that use JavaScript and Java side-by-side. Well cover these topics: -The JDK8s Nashorn benefits for the server and the client side developers -Using JavaScript and NodeJS applications and libraries on the Java platform -Real-world projects overview that leveraging on Java-JavaScript interactions -Live Q&A Presenter: Viktor Gamov, Senior Solutions Architect at Hazelcast Viktor joined Hazelcast with over 5 years experience of architecting and building the enterprise applications using open source technologies. At his previous roles, he helped the financial companies and startups with various Java and HTML5 projects. He holds MS in Computer Science. He is a co-author of the OReilly book 束Enterprise Web Development. From Desktop To Mobile損. Viktor presented at various international conferences (http://lanyrd.com/gamussa) on Java and JavaScript related topics. He tweets at @gamussa.]]>
In this webinar JavaScript is a powerful, flexible, and dynamically typed language. JVM is proven to be reliable and stable production platform. The power of the JVM is an ability to run programs written in different languages, including JavaScript. You can short the development cycle by leveraging a scripting abilities of JavaScript. This presentation is about JVMs scripting capabilities that allow to mix Java and JavaScript in the same application. In this session youll get introduced to the latest state of the polyglot frameworks that use JavaScript and Java side-by-side. Well cover these topics: -The JDK8s Nashorn benefits for the server and the client side developers -Using JavaScript and NodeJS applications and libraries on the Java platform -Real-world projects overview that leveraging on Java-JavaScript interactions -Live Q&A Presenter: Viktor Gamov, Senior Solutions Architect at Hazelcast Viktor joined Hazelcast with over 5 years experience of architecting and building the enterprise applications using open source technologies. At his previous roles, he helped the financial companies and startups with various Java and HTML5 projects. He holds MS in Computer Science. He is a co-author of the OReilly book 束Enterprise Web Development. From Desktop To Mobile損. Viktor presented at various international conferences (http://lanyrd.com/gamussa) on Java and JavaScript related topics. He tweets at @gamussa.]]> Thu, 02 Apr 2015 02:13:48 GMT /slideshow/hz-webinar-2015nashornv10/46566630 Hazelcast@slideshare.net(Hazelcast) The Power of the JVM: Applied Polyglot Projects with Java and JavaScript Hazelcast In this webinar JavaScript is a powerful, flexible, and dynamically typed language. JVM is proven to be reliable and stable production platform. The power of the JVM is an ability to run programs written in different languages, including JavaScript. You can short the development cycle by leveraging a scripting abilities of JavaScript. This presentation is about JVMs scripting capabilities that allow to mix Java and JavaScript in the same application. In this session youll get introduced to the latest state of the polyglot frameworks that use JavaScript and Java side-by-side. Well cover these topics: -The JDK8s Nashorn benefits for the server and the client side developers -Using JavaScript and NodeJS applications and libraries on the Java platform -Real-world projects overview that leveraging on Java-JavaScript interactions -Live Q&A Presenter: Viktor Gamov, Senior Solutions Architect at Hazelcast Viktor joined Hazelcast with over 5 years experience of architecting and building the enterprise applications using open source technologies. At his previous roles, he helped the financial companies and startups with various Java and HTML5 projects. He holds MS in Computer Science. He is a co-author of the OReilly book 束Enterprise Web Development. From Desktop To Mobile損. Viktor presented at various international conferences (http://lanyrd.com/gamussa) on Java and JavaScript related topics. He tweets at @gamussa. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hzwebinar2015nashornv10-150402021348-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this webinar JavaScript is a powerful, flexible, and dynamically typed language. JVM is proven to be reliable and stable production platform. The power of the JVM is an ability to run programs written in different languages, including JavaScript. You can short the development cycle by leveraging a scripting abilities of JavaScript. This presentation is about JVMs scripting capabilities that allow to mix Java and JavaScript in the same application. In this session youll get introduced to the latest state of the polyglot frameworks that use JavaScript and Java side-by-side. Well cover these topics: -The JDK8s Nashorn benefits for the server and the client side developers -Using JavaScript and NodeJS applications and libraries on the Java platform -Real-world projects overview that leveraging on Java-JavaScript interactions -Live Q&amp;A Presenter: Viktor Gamov, Senior Solutions Architect at Hazelcast Viktor joined Hazelcast with over 5 years experience of architecting and building the enterprise applications using open source technologies. At his previous roles, he helped the financial companies and startups with various Java and HTML5 projects. He holds MS in Computer Science. He is a co-author of the OReilly book 束Enterprise Web Development. From Desktop To Mobile損. Viktor presented at various international conferences (http://lanyrd.com/gamussa) on Java and JavaScript related topics. He tweets at @gamussa.
The Power of the JVM: Applied Polyglot Projects with Java and JavaScript from Hazelcast
]]> 1375 1 https://cdn.slidesharecdn.com/ss_thumbnails/hzwebinar2015nashornv10-150402021348-conversion-gate01-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 JCache - It's finally here /slideshow/jcache-its-finally-here-45873531/45873531 jcache-itsfinallyhere1-150316012923-conversion-gate01
David Brimley presents on JSR1ol, the standard for Java caching, at QCon London.]]>
David Brimley presents on JSR1ol, the standard for Java caching, at QCon London.]]> Mon, 16 Mar 2015 01:29:23 GMT /slideshow/jcache-its-finally-here-45873531/45873531 Hazelcast@slideshare.net(Hazelcast) JCache - It's finally here Hazelcast David Brimley presents on JSR1ol, the standard for Java caching, at QCon London. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/jcache-itsfinallyhere1-150316012923-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> David Brimley presents on JSR1ol, the standard for Java caching, at QCon London.
JCache - It's finally here from Hazelcast
]]> 1135 4 https://cdn.slidesharecdn.com/ss_thumbnails/jcache-itsfinallyhere1-150316012923-conversion-gate01-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 Speed Up Your Existing Relational Databases with Hazelcast and Speedment /slideshow/webinar-20150305-speedment-2/45641835 webinar20150305speedment2-150310010853-conversion-gate01
In this webinar How do you get data from your existing relational databases changed by third party applications into your Hazelcast maps? How do you accomplish this if you have several databases, located on different sites, that need to be aggregated into a global Hazelcast map? How is it possible to reflect data from a relational database that has ten thousand updates per second or more? Speedments SQL Reflector makes it possible to integrate your existing relational data with continuous updates of Hazelcast data-maps in real-time. In this webinar, we will show a couple of real-world cases where database applications are speeded up using Hazelcast maps fed by Speedment. We will also demonstrate how easily your existing database can be reverse engineered by the Speedment software that automatically creates efficient Java POJOs that can be used directly by Hazelcast. Well cover these topics: -Joint solution case studies -Demo -Live Q&A Presenter: Per-ke Minborg, CTO at Speedment Per-ke Minborg is founder and CTO at Speedment AB. He is a passionate Java developer, dedicated to OpenSource software and an expert in finding new ways of solving problems the harder problem the better. As a result, he has 15+ US patent applications and invention disclosures. He has a deep understanding of in-memory databases, high-performance solutions, cloud technologies and concurrent programming. He has previously served as CTO and founder of Chilirec and the Phone Pages. Per-ke has a M.Sc. in Electrical Engineering from Chalmers University of Technology and several years of studies in computer science and computer security at university and PhD level.]]>
In this webinar How do you get data from your existing relational databases changed by third party applications into your Hazelcast maps? How do you accomplish this if you have several databases, located on different sites, that need to be aggregated into a global Hazelcast map? How is it possible to reflect data from a relational database that has ten thousand updates per second or more? Speedments SQL Reflector makes it possible to integrate your existing relational data with continuous updates of Hazelcast data-maps in real-time. In this webinar, we will show a couple of real-world cases where database applications are speeded up using Hazelcast maps fed by Speedment. We will also demonstrate how easily your existing database can be reverse engineered by the Speedment software that automatically creates efficient Java POJOs that can be used directly by Hazelcast. Well cover these topics: -Joint solution case studies -Demo -Live Q&A Presenter: Per-ke Minborg, CTO at Speedment Per-ke Minborg is founder and CTO at Speedment AB. He is a passionate Java developer, dedicated to OpenSource software and an expert in finding new ways of solving problems the harder problem the better. As a result, he has 15+ US patent applications and invention disclosures. He has a deep understanding of in-memory databases, high-performance solutions, cloud technologies and concurrent programming. He has previously served as CTO and founder of Chilirec and the Phone Pages. Per-ke has a M.Sc. in Electrical Engineering from Chalmers University of Technology and several years of studies in computer science and computer security at university and PhD level.]]> Tue, 10 Mar 2015 01:08:53 GMT /slideshow/webinar-20150305-speedment-2/45641835 Hazelcast@slideshare.net(Hazelcast) Speed Up Your Existing Relational Databases with Hazelcast and Speedment Hazelcast In this webinar How do you get data from your existing relational databases changed by third party applications into your Hazelcast maps? How do you accomplish this if you have several databases, located on different sites, that need to be aggregated into a global Hazelcast map? How is it possible to reflect data from a relational database that has ten thousand updates per second or more? Speedments SQL Reflector makes it possible to integrate your existing relational data with continuous updates of Hazelcast data-maps in real-time. In this webinar, we will show a couple of real-world cases where database applications are speeded up using Hazelcast maps fed by Speedment. We will also demonstrate how easily your existing database can be reverse engineered by the Speedment software that automatically creates efficient Java POJOs that can be used directly by Hazelcast. Well cover these topics: -Joint solution case studies -Demo -Live Q&A Presenter: Per-ke Minborg, CTO at Speedment Per-ke Minborg is founder and CTO at Speedment AB. He is a passionate Java developer, dedicated to OpenSource software and an expert in finding new ways of solving problems the harder problem the better. As a result, he has 15+ US patent applications and invention disclosures. He has a deep understanding of in-memory databases, high-performance solutions, cloud technologies and concurrent programming. He has previously served as CTO and founder of Chilirec and the Phone Pages. Per-ke has a M.Sc. in Electrical Engineering from Chalmers University of Technology and several years of studies in computer science and computer security at university and PhD level. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/webinar20150305speedment2-150310010853-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this webinar How do you get data from your existing relational databases changed by third party applications into your Hazelcast maps? How do you accomplish this if you have several databases, located on different sites, that need to be aggregated into a global Hazelcast map? How is it possible to reflect data from a relational database that has ten thousand updates per second or more? Speedments SQL Reflector makes it possible to integrate your existing relational data with continuous updates of Hazelcast data-maps in real-time. In this webinar, we will show a couple of real-world cases where database applications are speeded up using Hazelcast maps fed by Speedment. We will also demonstrate how easily your existing database can be reverse engineered by the Speedment software that automatically creates efficient Java POJOs that can be used directly by Hazelcast. Well cover these topics: -Joint solution case studies -Demo -Live Q&amp;A Presenter: Per-ke Minborg, CTO at Speedment Per-ke Minborg is founder and CTO at Speedment AB. He is a passionate Java developer, dedicated to OpenSource software and an expert in finding new ways of solving problems the harder problem the better. As a result, he has 15+ US patent applications and invention disclosures. He has a deep understanding of in-memory databases, high-performance solutions, cloud technologies and concurrent programming. He has previously served as CTO and founder of Chilirec and the Phone Pages. Per-ke has a M.Sc. in Electrical Engineering from Chalmers University of Technology and several years of studies in computer science and computer security at university and PhD level.
Speed Up Your Existing Relational Databases with Hazelcast and Speedment from Hazelcast
]]> 1594 1 https://cdn.slidesharecdn.com/ss_thumbnails/webinar20150305speedment2-150310010853-conversion-gate01-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 Shared Memory Performance: Beyond TCP/IP with Ben Cotton, JPMorgan /slideshow/ben-petersarahupdated-hazelcast2015jan27pres/44296054 ben-peter-sarah-updatedhazelcast-2015-jan-27pres-150205022325-conversion-gate01
In this webinar youll learn the importance of Advanced Data Locality and Data IPC Transports with respect to Java distributed cache data grids. This is information that is super-crucial to the HPC Linux supercomputing community. The presenter will show how by using native /dev/shm as an IPC transport we can achieve latencies 1,000x faster than TCP/IP. Well cover the following topics: -Why going off-heap is fundamental to meeting real-time SLAs -Why traditional grid transports (TCP/IP) are not good enough for the HPC Linux supercomputing community -Why we need something more than TCP/IP -Live Q&A Session Presenter: Ben Cotton, Consultant at JPMorgan Ben is has been an IT Consultant to Financial Services Industry for nearly 20 years. His specializations lie in open source, transactions, caching, datagrids, fixed income & derivatives trading systems. Ben is active in the following communities: Java Community Process Member JSR-156 expert group: Java XML Transactions API JSR-107 expert group: Java Caching API JSR-347 expert group: Java Data Grids API RedHat Community Member (Fedora, Infinispan, JBoss XTS) Code Contributor]]>
In this webinar youll learn the importance of Advanced Data Locality and Data IPC Transports with respect to Java distributed cache data grids. This is information that is super-crucial to the HPC Linux supercomputing community. The presenter will show how by using native /dev/shm as an IPC transport we can achieve latencies 1,000x faster than TCP/IP. Well cover the following topics: -Why going off-heap is fundamental to meeting real-time SLAs -Why traditional grid transports (TCP/IP) are not good enough for the HPC Linux supercomputing community -Why we need something more than TCP/IP -Live Q&A Session Presenter: Ben Cotton, Consultant at JPMorgan Ben is has been an IT Consultant to Financial Services Industry for nearly 20 years. His specializations lie in open source, transactions, caching, datagrids, fixed income & derivatives trading systems. Ben is active in the following communities: Java Community Process Member JSR-156 expert group: Java XML Transactions API JSR-107 expert group: Java Caching API JSR-347 expert group: Java Data Grids API RedHat Community Member (Fedora, Infinispan, JBoss XTS) Code Contributor]]> Thu, 05 Feb 2015 02:23:25 GMT /slideshow/ben-petersarahupdated-hazelcast2015jan27pres/44296054 Hazelcast@slideshare.net(Hazelcast) Shared Memory Performance: Beyond TCP/IP with Ben Cotton, JPMorgan Hazelcast In this webinar youll learn the importance of Advanced Data Locality and Data IPC Transports with respect to Java distributed cache data grids. This is information that is super-crucial to the HPC Linux supercomputing community. The presenter will show how by using native /dev/shm as an IPC transport we can achieve latencies 1,000x faster than TCP/IP. Well cover the following topics: -Why going off-heap is fundamental to meeting real-time SLAs -Why traditional grid transports (TCP/IP) are not good enough for the HPC Linux supercomputing community -Why we need something more than TCP/IP -Live Q&A Session Presenter: Ben Cotton, Consultant at JPMorgan Ben is has been an IT Consultant to Financial Services Industry for nearly 20 years. His specializations lie in open source, transactions, caching, datagrids, fixed income & derivatives trading systems. Ben is active in the following communities: Java Community Process Member JSR-156 expert group: Java XML Transactions API JSR-107 expert group: Java Caching API JSR-347 expert group: Java Data Grids API RedHat Community Member (Fedora, Infinispan, JBoss XTS) Code Contributor <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ben-peter-sarah-updatedhazelcast-2015-jan-27pres-150205022325-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this webinar youll learn the importance of Advanced Data Locality and Data IPC Transports with respect to Java distributed cache data grids. This is information that is super-crucial to the HPC Linux supercomputing community. The presenter will show how by using native /dev/shm as an IPC transport we can achieve latencies 1,000x faster than TCP/IP. Well cover the following topics: -Why going off-heap is fundamental to meeting real-time SLAs -Why traditional grid transports (TCP/IP) are not good enough for the HPC Linux supercomputing community -Why we need something more than TCP/IP -Live Q&amp;A Session Presenter: Ben Cotton, Consultant at JPMorgan Ben is has been an IT Consultant to Financial Services Industry for nearly 20 years. His specializations lie in open source, transactions, caching, datagrids, fixed income &amp; derivatives trading systems. Ben is active in the following communities: Java Community Process Member JSR-156 expert group: Java XML Transactions API JSR-107 expert group: Java Caching API JSR-347 expert group: Java Data Grids API RedHat Community Member (Fedora, Infinispan, JBoss XTS) Code Contributor
Shared Memory Performance: Beyond TCP/IP with Ben Cotton, JPMorgan from Hazelcast
]]> 2778 1 https://cdn.slidesharecdn.com/ss_thumbnails/ben-peter-sarah-updatedhazelcast-2015-jan-27pres-150205022325-conversion-gate01-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 Applying Real-time SQL Changes in your Hazelcast Data Grid /slideshow/applying-realtime-sql-changes-in-your-hazelcast-data-grid/43648503 webinar20150113final-150119004430-conversion-gate01
In this webinar When you have an existing relational database that you want to scale out in a Hazelcast grid and third party applications are making changes to the underlying database, you get into a state where Hazelcast is unaware of these changes and will have stale data. Speedment solves this problem by tracking the database and pushing any changes into the Hazelcast grid automatically and continuously. The model supports transaction safe updates. Speedment is able to track the relational database regardless of how it is updated: using third party applications of any kind, SQL commands or even stored procedures. This webinar aims to give you an overview on how changes to an existing SQL database can be propagated to objects in the Hazelcast grid. We will demonstrate how easy you could get a really strong database synchronisation with continuous updates of Hazelcast data-maps in glorious real-time Well cover these topics: - How to install Speedment Reflector on a relational database - How Speedment Reflector can be integrated with Hazelcast - Live Q&A Presenter: Per-ke Minborg, CTO at Speedment Per-ke Minborg is founder and CTO at Speedment AB. He is a passionate Java developer, dedicated to OpenSource software and an expert in finding new ways of solving problems the harder problem the better. As a result, he has 15+ US patent applications and invention disclosures. He has a deep understanding of in-memory databases, high-performance solutions, cloud technologies and concurrent programming. He has previously served as CTO and founder of Chilirec and the Phone Pages. Per-ke has a M.Sc. in Electrical Engineering from Chalmers University of Technology and several years of studies in computer science and computer security at university and PhD level.]]>
In this webinar When you have an existing relational database that you want to scale out in a Hazelcast grid and third party applications are making changes to the underlying database, you get into a state where Hazelcast is unaware of these changes and will have stale data. Speedment solves this problem by tracking the database and pushing any changes into the Hazelcast grid automatically and continuously. The model supports transaction safe updates. Speedment is able to track the relational database regardless of how it is updated: using third party applications of any kind, SQL commands or even stored procedures. This webinar aims to give you an overview on how changes to an existing SQL database can be propagated to objects in the Hazelcast grid. We will demonstrate how easy you could get a really strong database synchronisation with continuous updates of Hazelcast data-maps in glorious real-time Well cover these topics: - How to install Speedment Reflector on a relational database - How Speedment Reflector can be integrated with Hazelcast - Live Q&A Presenter: Per-ke Minborg, CTO at Speedment Per-ke Minborg is founder and CTO at Speedment AB. He is a passionate Java developer, dedicated to OpenSource software and an expert in finding new ways of solving problems the harder problem the better. As a result, he has 15+ US patent applications and invention disclosures. He has a deep understanding of in-memory databases, high-performance solutions, cloud technologies and concurrent programming. He has previously served as CTO and founder of Chilirec and the Phone Pages. Per-ke has a M.Sc. in Electrical Engineering from Chalmers University of Technology and several years of studies in computer science and computer security at university and PhD level.]]> Mon, 19 Jan 2015 00:44:30 GMT /slideshow/applying-realtime-sql-changes-in-your-hazelcast-data-grid/43648503 Hazelcast@slideshare.net(Hazelcast) Applying Real-time SQL Changes in your Hazelcast Data Grid Hazelcast In this webinar When you have an existing relational database that you want to scale out in a Hazelcast grid and third party applications are making changes to the underlying database, you get into a state where Hazelcast is unaware of these changes and will have stale data. Speedment solves this problem by tracking the database and pushing any changes into the Hazelcast grid automatically and continuously. The model supports transaction safe updates. Speedment is able to track the relational database regardless of how it is updated: using third party applications of any kind, SQL commands or even stored procedures. This webinar aims to give you an overview on how changes to an existing SQL database can be propagated to objects in the Hazelcast grid. We will demonstrate how easy you could get a really strong database synchronisation with continuous updates of Hazelcast data-maps in glorious real-time Well cover these topics: - How to install Speedment Reflector on a relational database - How Speedment Reflector can be integrated with Hazelcast - Live Q&A Presenter: Per-ke Minborg, CTO at Speedment Per-ke Minborg is founder and CTO at Speedment AB. He is a passionate Java developer, dedicated to OpenSource software and an expert in finding new ways of solving problems the harder problem the better. As a result, he has 15+ US patent applications and invention disclosures. He has a deep understanding of in-memory databases, high-performance solutions, cloud technologies and concurrent programming. He has previously served as CTO and founder of Chilirec and the Phone Pages. Per-ke has a M.Sc. in Electrical Engineering from Chalmers University of Technology and several years of studies in computer science and computer security at university and PhD level. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/webinar20150113final-150119004430-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this webinar When you have an existing relational database that you want to scale out in a Hazelcast grid and third party applications are making changes to the underlying database, you get into a state where Hazelcast is unaware of these changes and will have stale data. Speedment solves this problem by tracking the database and pushing any changes into the Hazelcast grid automatically and continuously. The model supports transaction safe updates. Speedment is able to track the relational database regardless of how it is updated: using third party applications of any kind, SQL commands or even stored procedures. This webinar aims to give you an overview on how changes to an existing SQL database can be propagated to objects in the Hazelcast grid. We will demonstrate how easy you could get a really strong database synchronisation with continuous updates of Hazelcast data-maps in glorious real-time Well cover these topics: - How to install Speedment Reflector on a relational database - How Speedment Reflector can be integrated with Hazelcast - Live Q&amp;A Presenter: Per-ke Minborg, CTO at Speedment Per-ke Minborg is founder and CTO at Speedment AB. He is a passionate Java developer, dedicated to OpenSource software and an expert in finding new ways of solving problems the harder problem the better. As a result, he has 15+ US patent applications and invention disclosures. He has a deep understanding of in-memory databases, high-performance solutions, cloud technologies and concurrent programming. He has previously served as CTO and founder of Chilirec and the Phone Pages. Per-ke has a M.Sc. in Electrical Engineering from Chalmers University of Technology and several years of studies in computer science and computer security at university and PhD level.
Applying Real-time SQL Changes in your Hazelcast Data Grid from Hazelcast
]]> 1935 1 https://cdn.slidesharecdn.com/ss_thumbnails/webinar20150113final-150119004430-conversion-gate01-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 WAN Replication: Hazelcast Enterprise Lightning Talk /slideshow/replication-enterprise-lighting-talkkey/43179061 replication-enterpriselightingtalk-150103235326-conversion-gate01
There are cases where you need to synchronise multiple clusters to the same state. Synchronisation of clusters, also known as WAN (Wide Area Network) Replication, it is mainly used for replicating data of different clusters over WAN environments like the Internet. In this module we will demonstrate WAN Replication in action and how to configure it.]]>
There are cases where you need to synchronise multiple clusters to the same state. Synchronisation of clusters, also known as WAN (Wide Area Network) Replication, it is mainly used for replicating data of different clusters over WAN environments like the Internet. In this module we will demonstrate WAN Replication in action and how to configure it.]]> Sat, 03 Jan 2015 23:53:26 GMT /slideshow/replication-enterprise-lighting-talkkey/43179061 Hazelcast@slideshare.net(Hazelcast) WAN Replication: Hazelcast Enterprise Lightning Talk Hazelcast There are cases where you need to synchronise multiple clusters to the same state. Synchronisation of clusters, also known as WAN (Wide Area Network) Replication, it is mainly used for replicating data of different clusters over WAN environments like the Internet. In this module we will demonstrate WAN Replication in action and how to configure it. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/replication-enterpriselightingtalk-150103235326-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> There are cases where you need to synchronise multiple clusters to the same state. Synchronisation of clusters, also known as WAN (Wide Area Network) Replication, it is mainly used for replicating data of different clusters over WAN environments like the Internet. In this module we will demonstrate WAN Replication in action and how to configure it.
WAN Replication: Hazelcast Enterprise Lightning Talk from Hazelcast
]]> 599 1 https://cdn.slidesharecdn.com/ss_thumbnails/replication-enterpriselightingtalk-150103235326-conversion-gate01-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 JAAS Security Suite: Hazelcast Enterprise Lightning Talk /slideshow/security-enterprise-lighting-talkkey/43179020 security-enterpriselightingtalk-150103234830-conversion-gate02
In this webinar Hazelcast has an extensible, JAAS based security feature which can be used to authenticate both cluster members and clients and to perform access control checks on client operations. Access control can be done according to endpoint principal and/or endpoint address. In this module youll learn how to connect Hazelcast to a third party authentication provider.]]>
In this webinar Hazelcast has an extensible, JAAS based security feature which can be used to authenticate both cluster members and clients and to perform access control checks on client operations. Access control can be done according to endpoint principal and/or endpoint address. In this module youll learn how to connect Hazelcast to a third party authentication provider.]]> Sat, 03 Jan 2015 23:48:30 GMT /slideshow/security-enterprise-lighting-talkkey/43179020 Hazelcast@slideshare.net(Hazelcast) JAAS Security Suite: Hazelcast Enterprise Lightning Talk Hazelcast In this webinar Hazelcast has an extensible, JAAS based security feature which can be used to authenticate both cluster members and clients and to perform access control checks on client operations. Access control can be done according to endpoint principal and/or endpoint address. In this module youll learn how to connect Hazelcast to a third party authentication provider. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/security-enterpriselightingtalk-150103234830-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this webinar Hazelcast has an extensible, JAAS based security feature which can be used to authenticate both cluster members and clients and to perform access control checks on client operations. Access control can be done according to endpoint principal and/or endpoint address. In this module youll learn how to connect Hazelcast to a third party authentication provider.
JAAS Security Suite: Hazelcast Enterprise Lightning Talk from Hazelcast
]]> 905 1 https://cdn.slidesharecdn.com/ss_thumbnails/security-enterpriselightingtalk-150103234830-conversion-gate02-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 Hazelcast for Terracotta Users /slideshow/hazelcast-for-terracotta-users/42575113 hazelcastforterracotta-141210122440-conversion-gate02
In this webinar we will compare the complexities involved in Terracotta with the code/configuration changes to migrate to Hazelcast. You will learn about important features of Hazelcast such as IMDG capabilities, off-heap data storage, distributed collections, etc. and the feature-rich product portfolio of Hazelcast. We will cover how Hazelcast can scale up and out dynamically and without downtime against the static configuration of Terracotta. Expect to leave the webinar being more educated about Hazelcast in terms of architecture, important features and best practices. Well cover these topics: - Hazelcast architecture and features - Terracotta distributed architecture - Scale Vertical + Horizontal = Showcase no downtime feature in Hazelcast - BigMemory vs. HDC - Ease of installation two jars against multiple jars - Config and Code changes cache vs. maps, off-heap vs. HDC - Portability of Client APIs IMap, IQueue, Topics, etc. - Added functionalities Showcase IExecutorService, EntryProcessors, Multimap, etc. - DSO Showcase EntryProcessors taking place of DSO - Live Q&A Presenter: Rahul Gupta, Senior Solutions Architect Rahul is a technology-driven professional with 12+ years of experience in building and architecting highly scalable and concurrent, low latency business critical distributed infrastructure. His expertise lies in Big Data and Real Time Analytics space where he specializes in big data governing technologies and Enterprise Architecture. Rahul is an expert in working with decision makers across different business verticals within an organization and guiding them in right decision making through in-depth technical understanding, analysis and evaluation procedures to bring home critical deals with high business values.]]>
In this webinar we will compare the complexities involved in Terracotta with the code/configuration changes to migrate to Hazelcast. You will learn about important features of Hazelcast such as IMDG capabilities, off-heap data storage, distributed collections, etc. and the feature-rich product portfolio of Hazelcast. We will cover how Hazelcast can scale up and out dynamically and without downtime against the static configuration of Terracotta. Expect to leave the webinar being more educated about Hazelcast in terms of architecture, important features and best practices. Well cover these topics: - Hazelcast architecture and features - Terracotta distributed architecture - Scale Vertical + Horizontal = Showcase no downtime feature in Hazelcast - BigMemory vs. HDC - Ease of installation two jars against multiple jars - Config and Code changes cache vs. maps, off-heap vs. HDC - Portability of Client APIs IMap, IQueue, Topics, etc. - Added functionalities Showcase IExecutorService, EntryProcessors, Multimap, etc. - DSO Showcase EntryProcessors taking place of DSO - Live Q&A Presenter: Rahul Gupta, Senior Solutions Architect Rahul is a technology-driven professional with 12+ years of experience in building and architecting highly scalable and concurrent, low latency business critical distributed infrastructure. His expertise lies in Big Data and Real Time Analytics space where he specializes in big data governing technologies and Enterprise Architecture. Rahul is an expert in working with decision makers across different business verticals within an organization and guiding them in right decision making through in-depth technical understanding, analysis and evaluation procedures to bring home critical deals with high business values.]]> Wed, 10 Dec 2014 12:24:40 GMT /slideshow/hazelcast-for-terracotta-users/42575113 Hazelcast@slideshare.net(Hazelcast) Hazelcast for Terracotta Users Hazelcast In this webinar we will compare the complexities involved in Terracotta with the code/configuration changes to migrate to Hazelcast. You will learn about important features of Hazelcast such as IMDG capabilities, off-heap data storage, distributed collections, etc. and the feature-rich product portfolio of Hazelcast. We will cover how Hazelcast can scale up and out dynamically and without downtime against the static configuration of Terracotta. Expect to leave the webinar being more educated about Hazelcast in terms of architecture, important features and best practices. Well cover these topics: - Hazelcast architecture and features - Terracotta distributed architecture - Scale Vertical + Horizontal = Showcase no downtime feature in Hazelcast - BigMemory vs. HDC - Ease of installation two jars against multiple jars - Config and Code changes cache vs. maps, off-heap vs. HDC - Portability of Client APIs IMap, IQueue, Topics, etc. - Added functionalities Showcase IExecutorService, EntryProcessors, Multimap, etc. - DSO Showcase EntryProcessors taking place of DSO - Live Q&A Presenter: Rahul Gupta, Senior Solutions Architect Rahul is a technology-driven professional with 12+ years of experience in building and architecting highly scalable and concurrent, low latency business critical distributed infrastructure. His expertise lies in Big Data and Real Time Analytics space where he specializes in big data governing technologies and Enterprise Architecture. Rahul is an expert in working with decision makers across different business verticals within an organization and guiding them in right decision making through in-depth technical understanding, analysis and evaluation procedures to bring home critical deals with high business values. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hazelcastforterracotta-141210122440-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this webinar we will compare the complexities involved in Terracotta with the code/configuration changes to migrate to Hazelcast. You will learn about important features of Hazelcast such as IMDG capabilities, off-heap data storage, distributed collections, etc. and the feature-rich product portfolio of Hazelcast. We will cover how Hazelcast can scale up and out dynamically and without downtime against the static configuration of Terracotta. Expect to leave the webinar being more educated about Hazelcast in terms of architecture, important features and best practices. Well cover these topics: - Hazelcast architecture and features - Terracotta distributed architecture - Scale Vertical + Horizontal = Showcase no downtime feature in Hazelcast - BigMemory vs. HDC - Ease of installation two jars against multiple jars - Config and Code changes cache vs. maps, off-heap vs. HDC - Portability of Client APIs IMap, IQueue, Topics, etc. - Added functionalities Showcase IExecutorService, EntryProcessors, Multimap, etc. - DSO Showcase EntryProcessors taking place of DSO - Live Q&amp;A Presenter: Rahul Gupta, Senior Solutions Architect Rahul is a technology-driven professional with 12+ years of experience in building and architecting highly scalable and concurrent, low latency business critical distributed infrastructure. His expertise lies in Big Data and Real Time Analytics space where he specializes in big data governing technologies and Enterprise Architecture. Rahul is an expert in working with decision makers across different business verticals within an organization and guiding them in right decision making through in-depth technical understanding, analysis and evaluation procedures to bring home critical deals with high business values.
Hazelcast for Terracotta Users from Hazelcast
]]> 1120 2 https://cdn.slidesharecdn.com/ss_thumbnails/hazelcastforterracotta-141210122440-conversion-gate02-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 Extreme Network Performance with Hazelcast on Torusware /slideshow/20141105-torus-hazelcast/41286653 20141105torushazelcast-141108024429-conversion-gate01
How can you get: * Extreme Database Performance * Extreme In-Memory Transaction Processing * Extreme Messaging Throughput Without throwing money at expensive Infiniband, Exadata or Exalogic Elastic Cloud hardware? In-Memory Data Grid is a proven way to get Elastically Scalable In-Memory compute performance, and unlike Oracle Coherence and other solutions, Hazelcast is able to achieve extreme scale performance on standard (COTS) commodity scale-out hardware and JVMs, without resorting to custom protocols and proprietary hardware such as Exadata. Hazelcast can achieve significant performance boosts by using Torusware, the high-speed middleware by TORUS Software Solutions, a true plug & play product which implements multiple optimizations (optimized NIO sockets epoll, TCP/IP bypass, 10/40 Gbps ROCE, InfiniBand plus RDMA native support). Thus, Torusware improves Hazelcast extreme scalability by running on standard hardware with virtually zero communication overhead. Well cover these topics: *How Hazelcast and Torusware are 100% compatible *An overview of performance results of Hazelcast+Torusware *How Torusware helps Hazelcast to take full advantage of the underlying infrastructure. *Live Q&A Presenter: Guillermo Lopez Taboada, TORUS CEO and Co-founder *Inventor of Torus Technology, fast communications on low latency networks and servers. *12 years experience in HPC and Big Data within academia and now at TORUS working in projects for Hewlett-Packard, Amazon WS, NASA, ESA, and the financial, telco and IT industries. *PhD and BS in Computer Science]]>
How can you get: * Extreme Database Performance * Extreme In-Memory Transaction Processing * Extreme Messaging Throughput Without throwing money at expensive Infiniband, Exadata or Exalogic Elastic Cloud hardware? In-Memory Data Grid is a proven way to get Elastically Scalable In-Memory compute performance, and unlike Oracle Coherence and other solutions, Hazelcast is able to achieve extreme scale performance on standard (COTS) commodity scale-out hardware and JVMs, without resorting to custom protocols and proprietary hardware such as Exadata. Hazelcast can achieve significant performance boosts by using Torusware, the high-speed middleware by TORUS Software Solutions, a true plug & play product which implements multiple optimizations (optimized NIO sockets epoll, TCP/IP bypass, 10/40 Gbps ROCE, InfiniBand plus RDMA native support). Thus, Torusware improves Hazelcast extreme scalability by running on standard hardware with virtually zero communication overhead. Well cover these topics: *How Hazelcast and Torusware are 100% compatible *An overview of performance results of Hazelcast+Torusware *How Torusware helps Hazelcast to take full advantage of the underlying infrastructure. *Live Q&A Presenter: Guillermo Lopez Taboada, TORUS CEO and Co-founder *Inventor of Torus Technology, fast communications on low latency networks and servers. *12 years experience in HPC and Big Data within academia and now at TORUS working in projects for Hewlett-Packard, Amazon WS, NASA, ESA, and the financial, telco and IT industries. *PhD and BS in Computer Science]]> Sat, 08 Nov 2014 02:44:29 GMT /slideshow/20141105-torus-hazelcast/41286653 Hazelcast@slideshare.net(Hazelcast) Extreme Network Performance with Hazelcast on Torusware Hazelcast How can you get: * Extreme Database Performance * Extreme In-Memory Transaction Processing * Extreme Messaging Throughput Without throwing money at expensive Infiniband, Exadata or Exalogic Elastic Cloud hardware? In-Memory Data Grid is a proven way to get Elastically Scalable In-Memory compute performance, and unlike Oracle Coherence and other solutions, Hazelcast is able to achieve extreme scale performance on standard (COTS) commodity scale-out hardware and JVMs, without resorting to custom protocols and proprietary hardware such as Exadata. Hazelcast can achieve significant performance boosts by using Torusware, the high-speed middleware by TORUS Software Solutions, a true plug & play product which implements multiple optimizations (optimized NIO sockets epoll, TCP/IP bypass, 10/40 Gbps ROCE, InfiniBand plus RDMA native support). Thus, Torusware improves Hazelcast extreme scalability by running on standard hardware with virtually zero communication overhead. Well cover these topics: *How Hazelcast and Torusware are 100% compatible *An overview of performance results of Hazelcast+Torusware *How Torusware helps Hazelcast to take full advantage of the underlying infrastructure. *Live Q&A Presenter: Guillermo Lopez Taboada, TORUS CEO and Co-founder *Inventor of Torus Technology, fast communications on low latency networks and servers. *12 years experience in HPC and Big Data within academia and now at TORUS working in projects for Hewlett-Packard, Amazon WS, NASA, ESA, and the financial, telco and IT industries. *PhD and BS in Computer Science <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20141105torushazelcast-141108024429-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> How can you get: * Extreme Database Performance * Extreme In-Memory Transaction Processing * Extreme Messaging Throughput Without throwing money at expensive Infiniband, Exadata or Exalogic Elastic Cloud hardware? In-Memory Data Grid is a proven way to get Elastically Scalable In-Memory compute performance, and unlike Oracle Coherence and other solutions, Hazelcast is able to achieve extreme scale performance on standard (COTS) commodity scale-out hardware and JVMs, without resorting to custom protocols and proprietary hardware such as Exadata. Hazelcast can achieve significant performance boosts by using Torusware, the high-speed middleware by TORUS Software Solutions, a true plug &amp; play product which implements multiple optimizations (optimized NIO sockets epoll, TCP/IP bypass, 10/40 Gbps ROCE, InfiniBand plus RDMA native support). Thus, Torusware improves Hazelcast extreme scalability by running on standard hardware with virtually zero communication overhead. Well cover these topics: *How Hazelcast and Torusware are 100% compatible *An overview of performance results of Hazelcast+Torusware *How Torusware helps Hazelcast to take full advantage of the underlying infrastructure. *Live Q&amp;A Presenter: Guillermo Lopez Taboada, TORUS CEO and Co-founder *Inventor of Torus Technology, fast communications on low latency networks and servers. *12 years experience in HPC and Big Data within academia and now at TORUS working in projects for Hewlett-Packard, Amazon WS, NASA, ESA, and the financial, telco and IT industries. *PhD and BS in Computer Science
Extreme Network Performance with Hazelcast on Torusware from Hazelcast
]]> 838 1 https://cdn.slidesharecdn.com/ss_thumbnails/20141105torushazelcast-141108024429-conversion-gate01-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 Big Data, Simple and Fast: Addressing the Shortcomings of Hadoop /slideshow/addressing-shortcomingsofhadoop/40755497 addressingshortcomingsofhadoop-141027030004-conversion-gate01
In this webinar This talk identifies several shortcomings of Apache Hadoop and presents an alternative approach for building simple and flexible Big Data software stacks quickly, based on next generation computing paradigms, such as in-memory data/compute grids. The focus of the talk is on software architectures, but several code examples using Hazelcast will be provided to illustrate the concepts discussed. Well cover these topics: -Briefly explain why Hadoop is not a universal, or inexpensive, Big Data solution despite the hype -Lay out technical requirements for a flexible Big/Fast Data processing stack -Present solutions thought to be alternatives to Hadoop -Argue why In-Memory Data/Compute Grids are so attractive in creating future-proof Big/Fast Data applications -Discuss how well Hazelcast meets the Big/Fast Data requirements vs Hadoop -Present several code examples using Java and Hazelcast to illustrate concepts discussed -Live Q&A Session Presenter: Jacek Kruszelnicki, President of Numatica Corporation]]>
In this webinar This talk identifies several shortcomings of Apache Hadoop and presents an alternative approach for building simple and flexible Big Data software stacks quickly, based on next generation computing paradigms, such as in-memory data/compute grids. The focus of the talk is on software architectures, but several code examples using Hazelcast will be provided to illustrate the concepts discussed. Well cover these topics: -Briefly explain why Hadoop is not a universal, or inexpensive, Big Data solution despite the hype -Lay out technical requirements for a flexible Big/Fast Data processing stack -Present solutions thought to be alternatives to Hadoop -Argue why In-Memory Data/Compute Grids are so attractive in creating future-proof Big/Fast Data applications -Discuss how well Hazelcast meets the Big/Fast Data requirements vs Hadoop -Present several code examples using Java and Hazelcast to illustrate concepts discussed -Live Q&A Session Presenter: Jacek Kruszelnicki, President of Numatica Corporation]]> Mon, 27 Oct 2014 03:00:04 GMT /slideshow/addressing-shortcomingsofhadoop/40755497 Hazelcast@slideshare.net(Hazelcast) Big Data, Simple and Fast: Addressing the Shortcomings of Hadoop Hazelcast In this webinar This talk identifies several shortcomings of Apache Hadoop and presents an alternative approach for building simple and flexible Big Data software stacks quickly, based on next generation computing paradigms, such as in-memory data/compute grids. The focus of the talk is on software architectures, but several code examples using Hazelcast will be provided to illustrate the concepts discussed. Well cover these topics: -Briefly explain why Hadoop is not a universal, or inexpensive, Big Data solution despite the hype -Lay out technical requirements for a flexible Big/Fast Data processing stack -Present solutions thought to be alternatives to Hadoop -Argue why In-Memory Data/Compute Grids are so attractive in creating future-proof Big/Fast Data applications -Discuss how well Hazelcast meets the Big/Fast Data requirements vs Hadoop -Present several code examples using Java and Hazelcast to illustrate concepts discussed -Live Q&A Session Presenter: Jacek Kruszelnicki, President of Numatica Corporation <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/addressingshortcomingsofhadoop-141027030004-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this webinar This talk identifies several shortcomings of Apache Hadoop and presents an alternative approach for building simple and flexible Big Data software stacks quickly, based on next generation computing paradigms, such as in-memory data/compute grids. The focus of the talk is on software architectures, but several code examples using Hazelcast will be provided to illustrate the concepts discussed. Well cover these topics: -Briefly explain why Hadoop is not a universal, or inexpensive, Big Data solution despite the hype -Lay out technical requirements for a flexible Big/Fast Data processing stack -Present solutions thought to be alternatives to Hadoop -Argue why In-Memory Data/Compute Grids are so attractive in creating future-proof Big/Fast Data applications -Discuss how well Hazelcast meets the Big/Fast Data requirements vs Hadoop -Present several code examples using Java and Hazelcast to illustrate concepts discussed -Live Q&amp;A Session Presenter: Jacek Kruszelnicki, President of Numatica Corporation
Big Data, Simple and Fast: Addressing the Shortcomings of Hadoop from Hazelcast
]]> 2487 2 https://cdn.slidesharecdn.com/ss_thumbnails/addressingshortcomingsofhadoop-141027030004-conversion-gate01-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 JAXLondon - Squeezing Performance of IMDGs /slideshow/jaxlondon-squeezing-performance-of-imdgs/40412522 jaxlondon-squeezingperformanceofimdgs-141017151231-conversion-gate01
]]>
]]> Fri, 17 Oct 2014 15:12:31 GMT /slideshow/jaxlondon-squeezing-performance-of-imdgs/40412522 Hazelcast@slideshare.net(Hazelcast) JAXLondon - Squeezing Performance of IMDGs Hazelcast <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/jaxlondon-squeezingperformanceofimdgs-141017151231-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
JAXLondon - Squeezing Performance of IMDGs from Hazelcast
]]> 406 1 https://cdn.slidesharecdn.com/ss_thumbnails/jaxlondon-squeezingperformanceofimdgs-141017151231-conversion-gate01-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 OrientDB & Hazelcast: In-Memory Distributed Graph Database /slideshow/orientdb-hazelcast-inmemory-distributed-graph-database/39020615 orientdbandhazelcast-140912111458-phpapp01
OrientDB uses Hazelcast to achieve a distributed configuration with multi-master replication. By using these together you can scale up horizontally by adding new servers without stopping or reconfigure the cluster. In this webinar, youll be introduced to OrientDB and how it compares to other NoSQL DBMS. You will also learn how and why Hazelcast is being used with OrientDB to achieve scale, elasticity and performance. Both Hazelcast and Orient Technologies are providing professional open source support to their respective projects under the Apache software license.]]>
OrientDB uses Hazelcast to achieve a distributed configuration with multi-master replication. By using these together you can scale up horizontally by adding new servers without stopping or reconfigure the cluster. In this webinar, youll be introduced to OrientDB and how it compares to other NoSQL DBMS. You will also learn how and why Hazelcast is being used with OrientDB to achieve scale, elasticity and performance. Both Hazelcast and Orient Technologies are providing professional open source support to their respective projects under the Apache software license.]]> Fri, 12 Sep 2014 11:14:57 GMT /slideshow/orientdb-hazelcast-inmemory-distributed-graph-database/39020615 Hazelcast@slideshare.net(Hazelcast) OrientDB & Hazelcast: In-Memory Distributed Graph Database Hazelcast OrientDB uses Hazelcast to achieve a distributed configuration with multi-master replication. By using these together you can scale up horizontally by adding new servers without stopping or reconfigure the cluster. In this webinar, youll be introduced to OrientDB and how it compares to other NoSQL DBMS. You will also learn how and why Hazelcast is being used with OrientDB to achieve scale, elasticity and performance. Both Hazelcast and Orient Technologies are providing professional open source support to their respective projects under the Apache software license. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/orientdbandhazelcast-140912111458-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> OrientDB uses Hazelcast to achieve a distributed configuration with multi-master replication. By using these together you can scale up horizontally by adding new servers without stopping or reconfigure the cluster. In this webinar, youll be introduced to OrientDB and how it compares to other NoSQL DBMS. You will also learn how and why Hazelcast is being used with OrientDB to achieve scale, elasticity and performance. Both Hazelcast and Orient Technologies are providing professional open source support to their respective projects under the Apache software license.
OrientDB & Hazelcast: In-Memory Distributed Graph Database from Hazelcast
]]> 1707 3 https://cdn.slidesharecdn.com/ss_thumbnails/orientdbandhazelcast-140912111458-phpapp01-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 How to Use HazelcastMQ for Flexible Messaging and More /slideshow/hazelcastmq-webinar-by-mike-pilone/37432217 hazelcastmqwebinarbymikepilone-140728133316-phpapp01
HazelcastMQ provides a simple messaging layer on top of the basic Queue and Topic data structures provided by Hazelcast. HazelcastMQ emphasizes simple configuration and reliable clustering while providing an understandable and flexible messaging API. Building on the core features of Hazelcast such as scalability and resilience, HazelcastMQ maintains a small footprint and few dependencies. ]]>
HazelcastMQ provides a simple messaging layer on top of the basic Queue and Topic data structures provided by Hazelcast. HazelcastMQ emphasizes simple configuration and reliable clustering while providing an understandable and flexible messaging API. Building on the core features of Hazelcast such as scalability and resilience, HazelcastMQ maintains a small footprint and few dependencies. ]]> Mon, 28 Jul 2014 13:33:16 GMT /slideshow/hazelcastmq-webinar-by-mike-pilone/37432217 Hazelcast@slideshare.net(Hazelcast) How to Use HazelcastMQ for Flexible Messaging and More Hazelcast HazelcastMQ provides a simple messaging layer on top of the basic Queue and Topic data structures provided by Hazelcast. HazelcastMQ emphasizes simple configuration and reliable clustering while providing an understandable and flexible messaging API. Building on the core features of Hazelcast such as scalability and resilience, HazelcastMQ maintains a small footprint and few dependencies. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hazelcastmqwebinarbymikepilone-140728133316-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> HazelcastMQ provides a simple messaging layer on top of the basic Queue and Topic data structures provided by Hazelcast. HazelcastMQ emphasizes simple configuration and reliable clustering while providing an understandable and flexible messaging API. Building on the core features of Hazelcast such as scalability and resilience, HazelcastMQ maintains a small footprint and few dependencies.
How to Use HazelcastMQ for Flexible Messaging and More from Hazelcast
]]> 3460 5 https://cdn.slidesharecdn.com/ss_thumbnails/hazelcastmqwebinarbymikepilone-140728133316-phpapp01-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 Devoxx UK 2014 High Performance In-Memory Java with Open Source /Hazelcast/devoxx-uk-2014-high-performance-inmemory-java-with-open-source devoxxuk2014-highperformancein-memoryjavawithopensource-140622132330-phpapp02
www.hazelcast.com]]>
www.hazelcast.com]]> Sun, 22 Jun 2014 13:23:30 GMT /Hazelcast/devoxx-uk-2014-high-performance-inmemory-java-with-open-source Hazelcast@slideshare.net(Hazelcast) Devoxx UK 2014 High Performance In-Memory Java with Open Source Hazelcast www.hazelcast.com <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/devoxxuk2014-highperformancein-memoryjavawithopensource-140622132330-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> www.hazelcast.com
Devoxx UK 2014 High Performance In-Memory Java with Open Source from Hazelcast
]]> 526 2 https://cdn.slidesharecdn.com/ss_thumbnails/devoxxuk2014-highperformancein-memoryjavawithopensource-140622132330-phpapp02-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 JSR107 State of the Union JavaOne 2013 /slideshow/j-sr107-state-of-the-union-javaone-2013/36148578 jsr107-stateoftheunionjavaone2013-140621175913-phpapp02
www.hazelcast.com]]>
www.hazelcast.com]]> Sat, 21 Jun 2014 17:59:13 GMT /slideshow/j-sr107-state-of-the-union-javaone-2013/36148578 Hazelcast@slideshare.net(Hazelcast) JSR107 State of the Union JavaOne 2013 Hazelcast www.hazelcast.com <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/jsr107-stateoftheunionjavaone2013-140621175913-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> www.hazelcast.com
JSR107 State of the Union JavaOne 2013 from Hazelcast
]]> 458 2 https://cdn.slidesharecdn.com/ss_thumbnails/jsr107-stateoftheunionjavaone2013-140621175913-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Jfokus - Hazlecast /slideshow/jfokus-hazlecast/36148577 jfokus-140621175907-phpapp02
www.hazelcast.com]]>
www.hazelcast.com]]> Sat, 21 Jun 2014 17:59:07 GMT /slideshow/jfokus-hazlecast/36148577 Hazelcast@slideshare.net(Hazelcast) Jfokus - Hazlecast Hazelcast www.hazelcast.com <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/jfokus-140621175907-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> www.hazelcast.com
Jfokus - Hazlecast from Hazelcast
]]> 420 2 https://cdn.slidesharecdn.com/ss_thumbnails/jfokus-140621175907-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 In-memory No SQL- GIDS2014 /slideshow/inmemory-no-sql-gids2014/36148575 in-memorynosql-gids2014-140621175859-phpapp01
www.hazelcast.com]]>
www.hazelcast.com]]> Sat, 21 Jun 2014 17:58:59 GMT /slideshow/inmemory-no-sql-gids2014/36148575 Hazelcast@slideshare.net(Hazelcast) In-memory No SQL- GIDS2014 Hazelcast www.hazelcast.com <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/in-memorynosql-gids2014-140621175859-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> www.hazelcast.com
In-memory No SQL- GIDS2014 from Hazelcast
]]> 603 2 https://cdn.slidesharecdn.com/ss_thumbnails/in-memorynosql-gids2014-140621175859-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 In-memory Data Management Trends & Techniques /slideshow/inmemory-data-management-trends-techniques/36148571 in-memorydatamanagementtrendstechniques-140621175840-phpapp01
www.hazelcast.com]]>
www.hazelcast.com]]> Sat, 21 Jun 2014 17:58:40 GMT /slideshow/inmemory-data-management-trends-techniques/36148571 Hazelcast@slideshare.net(Hazelcast) In-memory Data Management Trends & Techniques Hazelcast www.hazelcast.com <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/in-memorydatamanagementtrendstechniques-140621175840-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> www.hazelcast.com
In-memory Data Management Trends & Techniques from Hazelcast
]]> 1008 2 https://cdn.slidesharecdn.com/ss_thumbnails/in-memorydatamanagementtrendstechniques-140621175840-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-Hazelcast-48x48.jpg?cb=1695400845 Hazelcast is a real-time, intelligent applications platform that enables enterprises to capture value at every moment. With Hazelcast, enterprises can increase actionable insights by unifying event streams with contextual insights from traditional data stores at in-memory speeds. From the cloud to the data center to the edge, Hazelcast is unique in its ability to transform processes to help its customers achieve a competitive advantage via material revenue generation, risk management or cost reduction. Hazelcast is headquartered in San Mateo, CA, with offices across the globe. To learn more about Hazelcast, visit https://hazelcast.com. www.hazelcast.com https://cdn.slidesharecdn.com/ss_thumbnails/hazelcast3-150722235304-lva1-app6891-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/hazelcast-36-roadmap-preview/50825075 Hazelcast 3.6 Roadmap ... https://cdn.slidesharecdn.com/ss_thumbnails/hazelcastfinalpresentation1-150722234507-lva1-app6891-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/time-to-make-the-move-to-inmemory-data-grids/50824914 Time to Make the Move ... https://cdn.slidesharecdn.com/ss_thumbnails/hzwebinar2015nashornv10-150402021348-conversion-gate01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/hz-webinar-2015nashornv10/46566630 The Power of the JVM: ...