Big data testing (1)
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The document discusses testing challenges with big data and proposes the test pyramid approach. It provides an overview of big data concepts like Hadoop, HDFS, MapReduce and HBase. Testing big data is challenging due to long feedback cycles and data dependencies. The test pyramid advocates automating basic tests like unit tests while using techniques like sampling and test automation to counter long test cycles. It also provides a high level example of using a Hive query validator as part of the testing approach.
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During this webinar, we demonstrate how QuerySurge solves the following challenges:
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- 16. Nightly Build Tests Hive Query Validator Unit Tests UI Test Test Pyramid
- 17. Hive Query Validator Hive Query Validator Query 1 Query 2 Query 3 Correct Correct Incorrect
- 18. Nightly tests & Smoke Tests SMOKE MODULE 3MODULE 1 MODULE 2 MODULE 4
- 20. About Us ● Adoniram Mishra (adoniram@thoughtworks.com) ● Benazeer Khan (benak@thoughtworks.com) Follow us at: Facebook: https://www.facebook.com/groups/vodqa/ Twitter: https://twitter.com/vodqancr