THE KEY TO A NEW PROSPEROUS TESTING FIELD WITH BIG DATA TECHNOLOGY IN MUMBAI

The key to a new prosperous Testing field with Big data Technology

The testing on Massive data is gaining momentum in science, industry and business.
Big data testing is all about handling high velocity, high volume, high variety and Veracity in massive data set.
According to IDC [Interactive Data Corporation] Big data market is projected to be a $50 billion industry by 2019.
To be successful, Big Data testers have to deep dive in to Data ingestion and the components of the Big Data ecosystem from scratch. If you apply the right realistic test strategies
and follow large number of best test scenarios. It will improve Big Data testing calibre and superiority, which will help to identify glitches and defects in early stages to reduce overall cost.
The automation strategy needs to be planned along to ensure that new automated tools are made available for big data testers during execution. In Big data projects we need to conduct oneself in infrastructure testing, database testing , performance testing and functional testing.In order to process the test data you will require some knowledge of Hive, Pig Scripting, Python and Java.
Which help you deal with structure unstructured and semi structure of data sets.
In next blog we will continue with Post ETL (Extract-transfer-load)Data Validation required in big data testing.
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