May 2015
Intermediate to advanced
464 pages
10h 19m
English
Content preview from Infinispan data grid platform definitive guideBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Using the Map/Reduce API
According to Gartner, from now on in-memory data grids and in-memory computing will be racing towards mainstream adoption and the market for this kind of technology is going to reach 1 billion by 2016. Thinking along these lines, Infinispan already provides a MapReduce API for distributed computing, which means that we can use Infinispan cache to process all the data stored in heap memory across all Infinispan instances in parallel.
If you're new to MapReduce, don't worry, we're going to describe it in the next section in a way that gets you up to speed quickly.
An introduction to Map/Reduce
MapReduce is a programming model introduced by Google, which allows for massive scalability across hundreds or thousands of servers ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.