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

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Hadoop Map/Reduce processing – Overview Map/Reduce is distributed computing and parallel processing framework where we have the advantage of pushing the computation to data • Distributed computing • Parallel Computing • Based on Map & Reduce tasks 6
Hadoop Eco-System • HDFS – Hadoop Distributed File System • HBase – NoSQL data store (Non-relational distributed database) • Map/Reduce - Distributed computing framework • Scoop - SQL-to-Hadoop database import and export tool • Hive – Hadoop Data Warehouse • Pig - Platform for creating Map/Reduce programs for analyzing large data sets 7
Page 1 and 2: Testing 3Vs (Volume, Variety and Ve
Page 3 and 4: What is Big Data • Big Data refer
Page 5: Big Data Processing using Hadoop fr
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 and 20: Velocity Testing: Challenges Testin
Page 21 and 22: Questions? 21
Page 23: THANK YOU www.infosys.com The conte

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

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