Archive
July 2012

Few days ago I blogged about how GridGain easily supports starting many GridGain nodes in the single JVM - which is a huge productivity boost during the development. I've got a lot of requests to show the code - so here it is. This is an example that we are shipping with upcoming 4.3 release (entire source code): [source lang="java" title="Micro cloud example"] import org.gridgain.grid.*; import…
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One of the features in GridGain's In-Memory Data Platform that often goes unspoken for is ability to launch multiple GridGain's node in the single JVM. Now, as trivial as it sounds... can you start multiple JBoss or WebLogic or Infinisnap or Gigaspaces or Coherence or (gulp) Hadoop 100% independent runtimes in the single JVM? The answer is no. Even for a simple test run you'll have to start…
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Scalathon 2012July 27-29, 2012Philadelphia, PennsylvaniaGridGain is a Gold Sponsor of Scalathon 2012 (#scalathon), one of the most exciting Scala developer conferences around. GridGain's Nikita Ivanov will also be giving a presentation titled "Real-Time Streaming MapReduce." As always - few slides and plenty of live MapReduce and in-memory distributed processing coding.Visit the Scalathon website…
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GridGain will be hosting a webinar Thursday, July 26, 2012 at 3pm EST / 12pm PST during which GridGain’s CTO, Dmitriy Setrakyan, will be live coding GridGain examples in Java. Dmitriy will cover the following examples: How to distribute simple units of work to the grid. Collocation of computation and data. A full Streaming MapReduce example that performs SQL queries on streaming in-memory data.…
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Over the last 12 months I’ve accumulated plenty of “conversations” where we’ve discussed big data analytics and BI strategies with our customers and potential users. These 5 points below represent some of the key take-away points about current state of analytics/BI field, why it is by in large a sore state of affairs and what some of the obvious tell telling signs of the decay. Beware: some…
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GridGain 4.2 Released!

We are happy to announce that GridGain 4.2 is released! This release includes several new exciting feature as well as the host of performance optimizations that we've included. This release is 100% backward compatible with 4.x product line and we recommend anyone on 4.x version to update as soon as possible. Now - let's talk about new features... Delayed Preloading In GridGain 4.2 we've…
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GridGain will be presenting at Boston Area Scala Meetup on "BigData Distributed HPC with GridGain and Scala". Good discussion about in-memory data platform in general, BigData and what role in-memory technology plays in BigData. As always - plenty of live coding developing live MapReduce apps in front of the audience. All details at Boston Area Scala Meetup website. Hope to see you there…
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Interesting article at GigaOm: http://bit.ly/OINpfr I won’t repeat the main points - but basically it says that since Hadoop is disk/ETL/batch based it won’t fit for real time processing of frequently changing data. Author correctly points out that real time processing (i.e. perceptual real time meaning sub-second to few seconds response time) is becoming a HUGE trend that’s impossible to ignore…
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