As a part of the course, you will be required to execute real-life industry-based projects. The projects included are in the any domains of Banking, Telecommunication, Social media, Insurance, and E-commerce. This Big Data course also includes its fundamental and latest modules, like HDFS, Map Reduce, Hive, HBase, Sqoop, Flume, Oozie, Zoopkeeper, Spark and Storm. At end of the program, aspirants are awarded with Big Data & Hadoop Certification. You will also work on a project as part of your training which would prepare to take up assignments on Big data
Objectives of the Course
After completion of the Big Data and Hadoop Course from Manumedisoft, you will be able to:
* Completely understanding Apache Hadoop Framework
* Understanding of HDFS, learn how MapReduce processes the data
* Hadoop development and implementation
* Get an overview of Sqoop and Flume and describe how to consume data using them
* Understand how YARN engages in managing to compute resources into clusters
* Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala
* Design, build, install, configuring the applications involving Big Data and Hadoop Ecosystem
* Maintain security and data privacy
Who can become a Big Data and Hadoop Professional?
Hadoop Certification Training can help you get a Big data Hadoop job if you have the readiness to build a career in Big Data Domain. There are no predefined prerequisites to learn Hadoop, but comprehensive.
The following professionals are eligible to become a BigData Hadoop Professional, Software developers, Architects, Analysts, DBA, Data Analysts, Business Analysts, Big Data professionals, or anyone who is considering to building a career in Big Data and Hadoop is ideal applicants for the Big Data and Hadoop training. It’s a incorrect belief that only professionals with knowledge in Java programming background are suitable for learning Big Data Hadoop or joining a career in this domain. An elementary knowledge of any programming language like Java, C++ or Python, and Linux is always an additional advantage.