Due to the advent of new technologies, devices, and communication means like social networking sites, the amount of data produced by mankind is growing rapidly every year. The amount of data produced by us from the beginning of time till 2003 was 5 billion gigabytes. If you pile up the data in the form of disks it may fill an entire football field. The same amount was created in every two days in 2011, and in every ten minutes in 2013. This rate is still growing enormously. Though all this information produced is meaningful and can be useful when processed, it is being neglected.
90% of the world’s data was generated in the last few years.
Introduction to Big Data
Working with Hadoop and its Components and Concepts
Scripting with Hive & HBase
Programming using MapReduce for Big Data -1
Programming using MapReduce for Big Data -2
Distributed Resource synchronization using ZooKeeper
Data loading using Sqoop
Handling large log files using Flume
Handling workflows using Oozie
Understanding Popular Big Data Platforms
Basic of Programming Launguage
* Concepts of OOP
* Basic of Scripting language
Basics of Linux/Unix operating Systems
Good understanding of Javaprogramming language
* Core Java
Understanding of basic SQL statements.
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