Testing the data
Testing for these volumes of data requires analytics applications to gather, analyze, interpret, and present content from multiple channels, including web and mobile.
Testing analytics applications requires exploration of social media, mobility, analytics, and cloud (SMAC) world. It involves gathering customer data from social and mobile channels, leveraging the data, and storing it in cloud platforms. The three key characteristics of data include volume, variety, and the main challenge to address in testing analytics application involves validating the 6Vs.
Characteristics of data to be tested and testing to be done includes the following things:
- Data volumes (Test for semantics, distributed processing, and scalability)
- Data variety (Test for visualization, schemas, and data federation)
- Data velocity (Test real-time, on the fly integration and on-demand storage)
In addition to bearing in mind the volumes, variety, and velocity of the data to be tested, the testing should be...
