Scala and Spark for Big Data Analytics

Veracity of Data

Data can be analyzed for actionable insights, but with so much data of all types being analyzed from across data sources, it is very difficult to ensure correctness and proof of accuracy.

The following are the 4 Vs of big data:

To make sense of all the data and apply data analytics to big data, we need to expand the concept of data analytics to operate at a much larger scale dealing with the 4 Vs of big data. This changes not only the tools, technologies, and methodologies used in analyzing data, but also the way we even approach the problem. If a SQL database was used for data in a business in 1999, now to handle the data ...