Big Data Tutorial

Big Data Tutorial

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. Companies and research institutions collect 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 ocean of data. This is where big data analytics comes into the scenario.

Big Data Analytics mainly involves gathering data from various sources, manipulate it in a way that it becomes available to be consumed by analysts, and finally deliver data products useful to the businesses. The procedure of converting huge amounts of unstructured raw data, retrieved from several sources to a data product useful for organizations forms the core of Big Data Analytics.

In this tutorial, we will learn the most fundamental concepts and methods of Big Data Analytics.

Audience

This tutorial has been organized for software professionals seeking to learn the basics of Big Data Analytics. Professionals who are into analytics and may as well use this tutorial to good effect.

Prerequisites

Before you start continuing with this tutorial, we believe that you have prior exposure to handling huge volumes of unprocessed data at an organizational level. Using this tutorial, we will develop a mini project to provide exposure to a real-world problem and how to solve it using Big Data Analytics.