Yearly Archives: 2014

How to make historical analysis work on real-time data

‘As of’ root cause analysis at any point in the pastHistorical data analysis is typically enabled using data duplication technologies. But is this method still valid today when users need to analyze historical data that’s moving fast and changing rapidly throughout the day? All we know is that in ActivePivot, we practically had to re-invent our core database to support the requirements of our customers who wanted to travel back in time and analyze large volumes of dynamic data.Read more

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From Multi-Core to Many-Core: Do not delay in Making Your Java Application “NUMA-Aware”

NUMA Aware ApplicationIn the last post, I explained the difference between SMP and NUMA architectures as we enter the “many-core” era. I also asked the following question: “Is it reasonable to expect massive performance improvements when you run an existing application on new NUMA-enabled hardware?” The answer is yes. However, improved performance is not guaranteed and you must be prepared to rewrite the code of your application to get the best out of many-core hardware. Read more

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To NUMA or not to NUMA

Symmetric Multi-Processing (SMP)When your business is analyzing big data with the goal of providing answers in split seconds, you find yourself trying to squeeze every bit of speed into your solution. Among other things, this also includes finding the optimal processor architecture. This is why we’ve spent quite a lot of efforts studying the memory architecture alternatives – NUMA (non-uniform memory access) and SMP (symmetric multiprocessing) – to see which one could provide us with the best results.Read more

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In-memory analytics: doing things radically different

Think differentIn our previous post, How In-Memory Computing is Accelerating Business Performance, we explained the disruptive potential of in-memory computing. Performance gains resulting from faster execution of queries were one of the top benefits mentioned. However, in-memory computing goes way beyond performance gains, allowing organizations to do things differently and achieve new levels of competitiveness. This post illustrates this with a few examples.Read more

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From 24 hours to 24 seconds – How In-Memory Computing is Accelerating Business Performance

simulationsCountless articles are written about Big Data every day. Beyond the hype, the Big Data phenomenon is a real change agent delivering capabilities that were never thought of before. Financial institutes and banks, for example, can calculate and asses their risk in near-real time, throughout the day.Read more

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