Big Data Hadoop & Analytics

Big Data is a platform given to large volumes of data that organizations are using for storing and processing. Hadoop, has become one of the top platform for storing, handling, evaluating and retrieving large volumes of data for companies working with Big Data in a forms of applications. Importance of Hadoop is relevant from the fact that many global MNCs are using Hadoop and consider it as an integral part of their functioning.


About The Course

Here you will learn:

  1. An introduction to Big Data and its uses in various sectors
  2. Master the concepts of the Hadoop framework, its deployment in a cluster environment and high level scripting frameworks such as Pig and Hive to perform data analytics
  3. Know the fault tolerance capacity of Hadoop and use the MapReduce feature to process large amounts of data in parallel, in a cost effective manner
  4. Understand the Hadoop file system, the different configurations of the Hadoop cluster and methods to optimize and troubleshoot
  5. Understand best practices for Hadoop development
  6. Work on a real life Project on Big Data Analytics

Course Objectives

During the Big Data Hadoop & Analytics

  1. Setup Hadoop Cluster and compose Complex MapReduce programs
  2. Become master in acing the ideas of HDFS and MapReduce system
  3. Learn Hadoop 2.x Architecture
  4. Know information stacking strategies utilizing Sqoop and Flume
  5. You will perform information investigation utilizing Pig, Hive and YARN
  6. Implement HBase and MapReduce combination
  7. Understand Advanced Usage and Indexing
  8. Jobs schedulin utilizing Oozie
  9. Knowledge of Spark and its Ecosystem
  10. Know how to function in RDD in Spark
  11. Work on a genuine Project on Big Data Analytics


  1. Understanding Big Data and Hadoop
  2. Hadoop architecture and HDFS
  3. Hadoop MapReduce and Frameworks
  4. Advanced MapReduce
  5. Pig
  6. Hive
  7. Advanced Hive and Hbase
  8. Advanced Hbase
  9. Processing Distributed data with Apache Spark
  10. Oozie and Hadoop projects.


How to get certified?

To become a Certified Big Data Hadoop, you must fulfill the following criteria:
Complete any one project at GKLM before completion of course which will be evaluated by our lead trainer score a minimum of 60% in tests and get certified from GKLM.

Contact Us


+91 9999160255    +91 8595181398

FAQ's


Big Data is an expression given to expansive volumes of information that associations store prepare. Be that as it may, the ever increasing volumes of information are turning out to be extremely troublesome for organizations to store, recover and prepare information. The issue lies in the utilization of customary frameworks to store colossal information. In spite of the fact that these frameworks were running effectively a couple of years back, with rising sum and many-sided quality of information, these are soon getting to be distinctly out of date. Hadoop, offers the ideal answer for putting away, taking care of, assessing and recovering substantial volumes of information for an assortment of utilizations, which is the reason worldwide mammoths in the fields of retail, saving money and fund, online networking and numerous different segments are effectively utilizing Hadoop as a feature of their development procedure.

You may be required to put in 10 to 12 hours of effort every week, including the live class, self study and assignments.

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GKLM
  5476 Sona Place, Opp. Spark Mall,
Kamla Nagar, New Delhi, India

+91-9999160255   +91-8595181398

  tech.gklm@gmail.com
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