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Is the Apache Spark architecture the next big thing in big data management and analytics? Many IT vendors seem to think so -- and an increasing number of user organizations, too. The buzz about the Spark framework and data processing engine is increasing as adoption of the software grows. Advocates are touting it as a faster, more flexible and easier-to-use alternative to MapReduce for developing and running analytics applications on data stored in Hadoop clusters. If they're right, Spark has the potential to push Hadoop further away from its batch-oriented MapReduce roots.
How well do you know Apache Spark? If you're planning or considering a deployment, test your knowledge of Spark's creation, development and features with this short quiz -- and get pointers to articles that offer insight on the technology and advice on using it.
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