Category Archives: Cloud
Real Time Analytics for Big Data: An Alternative Approach
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 cloud computing, NoSQL, syndicated
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Real Time processing with IMDG and NoSQL session at the NYC meetup
I will be having a session about Real Time processing with IMDG and NoSQL DB on Thursday, July 28th, 6:30 PM at the NYC NoSQL meetup. The session will cover the following: In-Memory-Data-Grid usage with NoSQL DB in financial , telecom … Continue reading
Posted in Application Architecture, Application Performance, Caching, Cloud, Events, GigaSpaces, News
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Real Time analytics for Big Data: Facebook’s New Realtime Analytics System
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 cloud computing, NoSQL, syndicated
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Cloudify for Azure – On-Board Enterprise Java Apps to the Azure Cloud in a Snap!
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
Read/write scale without complete re-write
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
Posted in Cloud, Data Grid, Scalability
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