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Check out the full blog series, too: Spark, the pragmatic bits
Data analytics using Cassandra and Spark by David BorsosCassandra is a highly performant database when used to store large amounts of data, and performing queries for which it has been optimized. However, when it comes to trying to analyze and gain broader insight from the data captured, Cassandra can be cumbersome to work with, and may not be as performant and scalable as needed. This article demonstrates how you can practically combine Apache Spark with Apache Cassandra in order to better deal with such scenarios.
âDeploy Spark with an Apache Cassandra cluster by David BorsosThis post will show how you can deploy the open source version of Apache Spark alongside an Apache Cassandra cluster. It also includes a programmable infrastructure code example.
âTesting Spark by Matt Long The ability to write and run adhoc Spark queries is helpful for getting immediate insight into certain data problems, but what happens when these queries needs to form part of a bigger software system? Matt takes you on a journey looking at how you may need to take existing Spark code (in fact the same demo code used in Davidâs first article), and refactor it in order to make it more testable.
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