Tag Archives: NoSQL

Analytics for Big Data – Venturing with the Twitter Use Case

Posted on January 27, 2012 by dotan

Performing analytics on Big Data is a hot topic these days. Many organizations realized that they can gain valuable insight from the data that flows through their systems, both in real time and in researching historical data. Imagine what Google, … Continue reading → Continue reading →

Posted in Big Data, Cassandra, Cloudify, EDA, GigaSpaces, Real Time Analytics, Solution Architecture, syndicated, Twitter | Tagged , , | 1 Comment

2012 Cloud, PaaS, NoSQL Predictions

Posted on December 13, 2011 by Nati Shalom

2011 is coming to its end and now is a good time to start planning for 2012. I thought that a good start would be too look at my 2011 predictions and if my previous (and first) attempt to predict… Continue reading →

Posted in Cloud, Cloudify, Data Grid, GigaSpaces, syndicated | Tagged , , , | Leave a comment

Mirroring GigaSpaces XAP to NoSQL

Posted on September 12, 2011 by Joe Ottinger

Ah, caches[0]. Caches are easy to use, but not always easy to load; what typically happens is that you modify your reads and writes to check a cache first (using data from the cache if present, and loading the cache if not; updates store data in the cache as well as the data store, in [...] Continue reading →

Posted in GigaSpaces, Java, syndicated | Tagged , | Leave a comment

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: An Alternative Approach

Posted on July 14, 2011 by Nati Shalom

Lately, we’ve been talking to various clients about realtime analytics, and with convenient timing Todd Hoff wrote up how Facebook’s realtime analytics system was designed and implemented (See previous review on that regard here). They had some assumptions in design… Continue reading →

Posted in Cassandra, Cloud, GigaSpaces, Scalability, syndicated | Tagged , , | Leave a comment