Testing Big Data

There will be huge chunk of data entering into the Database (Individual or cluster of DB's) in case of Big data. Testing of all the data which enters into the database is really hard so "Sampling method" or "A/B Testing" method can be performed to verify the data entering into the Database

What is Sampling or A/B method ?

This is just like a manual method where the factor(A) is compared with the entry in the Database(B) for the factor A. To make it clear if the factor A is considered as Temperature of the rocket then manually the temperature of the environment within the rocket is moderated to different limits to check whether the same moderated or adjusted temperature is recorded as B in the Database. Basically in the above entry case A=B.

This method is done to find the accuracy or the correctness of the data capturing sense of the Database.

Now once when the accuracy of the data collected in the data base is tested we need to move on to test the data retrieved from the Database to the application where the big data is used.