Overview
In our digital era, businesses are overwhelmed with data, and the ways to store, process, analyze, interpret, consume it. Today, the data that we deal with is diverse. User content like blog posts, tweets, social network interactions etc. and user transactions, touchpoints are various data sources
Data Analytics addresses large, diverse, complex, longitudinal, and/or distributed datasets generated from instruments, sensors, Internet transactions, email, video, click streams, and/or all other digital sources available today and in the future. It describes various data types and data sets covering new and unstructured data sources (NoSQL), SCADA data, M2M data, RFID data, and WSN data along with traditional (SQL RDBMS) and structured data sources.