With Digital Data Consumption at its peak, the world has turned to Big Data for maintenance and analytics of this data. Private companies and research institutions capture terabytes of data about their users’ interactions, business, social media, and also sensors from devices such as mobile phones and automobiles. The challenge of this era is to make sense of this sea of data. For this reason, we have come up with this tutorial on "Big Data Analytics"
The volume of data that one has to deal with has exploded to unimaginable levels in the past decade, and at the same time, the price of data storage has systematically reduced. Big Data Analytics largely involves collecting data from different sources, merge it in a way that it becomes available to be consumed by analysts, and finally deliver data products useful to the organization business.
The process of converting large amounts of unstructured raw data, retrieved from different sources to a data product useful for organizations forms the core of Big Data Analytics.
BigData is the latest buzzword in the IT Industry. Apache’s Hadoop is a leading Big Data platform used by IT giants Yahoo, Facebook & Google. In this tutorial, we have covered all the important topics such as, What is Big Data and Hadoop, What is Hive, What are their features and much more that will help you to get a hold over this concept.
