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highscalability.com
| | timilearning.com
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| | In the first lecture of this series, I wrote about MapReduce as a distributed computation framework. MapReduce partitions the input data across worker nodes, which process data in two stages: map and reduce. While MapReduce was innovative, it was inefficient for iterative and more complex computations. Researchers at UC Berkeley invented Spark to deal with these limitations.
| | dzone.com
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| | CommonCrawl is an organization which provides web crawl data for free. Read on to find out about CommonCrawl and how it can help your team.
| | www.niallkennedy.com
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| | Google is currently processing over 20 petabytes of data per day through an average of 100,000 MapReduce jobs spread across its computing clusters.
| | blog.qburst.com
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| In this blog series, we bring you one of our enterprise client's cloud migration success story. The groundwork for migrating our client's on-premise