Category Archives: Data Grid

Caches: an unpopular opinion, explained

Posted on September 20, 2011 by Joe Ottinger

Your ads will be inserted here byAdSense Now! Lite.Please go to the plugin admin page to paste your ad code.I have an unpopular opinion: caches indicate a general failure, when used for live data. This statement tends to ruffle feathers, because caches are very common, accepted as a standard salve for a very common problem; [...] Continue reading →

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Big Data Application Platform

Posted on September 2, 2011 by Nati Shalom

It’s time to think of the architecture and application platforms surrounding "Big Data" databases. Big Data is often centered around new database technologies mostly from the emerging NoSQL world. The main challenge that these databases solve is how to handle… Continue reading →

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Real Time analytics for Big Data: Facebook’s New Realtime Analytics System

Posted on July 8, 2011 by Nati Shalom

Recently, I was reading Todd Hoff’s write-up on FaceBook real time analytics system. As usual, Todd did an excellent job in summarizing this video from Engineering Manager at Facebook Alex Himel, Engineering Manager at Facebook. In this first post, I’d… Continue reading →

Posted in architecture, Cloud, Data Grid, EDA, GigaSpaces, Scalability, syndicated | Tagged , , | Leave a comment

Cloudify for Azure – On-Board Enterprise Java Apps to the Azure Cloud in a Snap!

Posted on July 6, 2011 by Uri Cohen

For those of you that missed out, we held a Microsoft Azure Live Academy webcast last night titled Easy On-Boarding of Mission-Critical Java Apps to the Azure Cloud, where GigaSpaces Cloudify for Azure was introduced. Cloudify for Azure is an … Continue reading →

Posted in Cloud, Data Grid, GigaSpaces, Java, Webcast | 1 Comment

Read/write scale without complete re-write

Posted on June 16, 2011 by Nati Shalom

In the last week of May I attended one of our Partner events in Stockholm where I presented the convergence of trends in the data scalability world – specifically the transition from NoSQL to NewSQL and the convergence of trends that … Continue reading →

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