Big Data is a collection of large and complex data sets that cannot be processed using regular database management tools or processing applications. A lot of challenges such as capture, curation, storage, search, sharing, analysis, and visualization can be encountered while handling Big Data. On the other hand the Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Big Data certification is one of the most recognized credentials of today.

Topics Covered

Hadoop in Python Language HBase, which is a NoSQL DB Hive Pig MapReduce along with case studies and projects

Who should attend

Anyone who is looking forward towards building a career in Bigdata and Hadoop are ideal participants for the Big Data and Hadoop training

Pre-requisites

SQL

What you need to bring

You should have internet connectivity and Skype."

Key Takeaways

•Master the concepts of Hadoop framework