Businesses are now aware of the large volumes of data that they generate in their day to day transactions. They have also realized that this Big Data can provide very valuable insights once analyzed. The massive volume of Big Data and its unstructured format make it difficult to analyze Big Data.

Hadoop brings the ability to cheaply process large amounts of data, regardless of structure. If you are an IT professional who wants to stay up to date with the current buzzword then this is the course for you.

Knowledge about processing Big Data with Hadoop will also prove to be a huge Resume builder for Students who will be trying for Placements soon.

In B. S. Anangpuria Institute of Technology & Management at our department of Computer Science & Engineering, we make our students understand the role of Hadoop and data analysis in an organization.

Initially, in this course we start with Big Data What is Big Data? Trends across industries. Opportunities to disrupt business models across industries. Industry-specific Use Cases. Some brief Case Studies. Data Science as an emerging new discipline. Skills required to be a Data Scientist.

In the second session continuity to above Hadoop a discussion on What is Hadoop?Why do we need a new tool? / Motivations for Hadoop, A comparison with traditional databases (RDBMS) and data Hub/Lake/Reservoir: The role of Hadoop in a modern data architecture.Apache Hadoop distributions including Hadoop: Cloudera, Hortonworks, MapR, IBM, Pivotal and Intel.An overview of a typical Hadoop cluster. Hadoop Deployment Commodity Hardware Hadoop Appliances Hadoop on the Cloud Hadoop as a Service.

We at Department of Computer Science & Engineering make sure that at the completion of this lab, they are able to apply the knowledge gained through the complete session and work dedicated on the streams and projects associated with this course.