Testing 3Vs (Volume, Variety and Velocity) of Big Data - QAI

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Velocity Testing: Approach Validation Points • Performance of Pig/Hive jobs and capture • Job completion time and validating against the benchmark • Throughput of the jobs • Impact of background processes on performance of the system • Memory and CPU details of task tracker • Availability of name node and data nodes Metrics Captured • Job completion time • Throughput • Memory utilization • No. of spills and spilled records • Identify Jobs failure rate 20
Questions? 21
Page 1 and 2: Testing 3Vs (Volume, Variety and Ve
Page 3 and 4: What is Big Data • Big Data refer
Page 5 and 6: Big Data Processing using Hadoop fr
Page 7 and 8: Hadoop Eco-System • HDFS - Hadoop
Page 9 and 10: Testing Opportunities for ‘Indepe
Page 11 and 12: Early Validation of the Design Is t
Page 13 and 14: Cluster Setup Is the system behavin
Page 15 and 16: Volume Testing: Challenges Testing
Page 17 and 18: Variety Testing: Challenges Testing
Page 19: Velocity Testing: Challenges Testin
Page 23: THANK YOU www.infosys.com The conte

Testing 3Vs (Volume, Variety and Velocity) of Big Data - QAI

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