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Big Data Analytics Course Content In Chandigarh

Overview of Big Data

This includes topics such as history of big data, its elements, career related knowledge, advantages, disadvantages and similar topics.

Using Big Data in Businesses

This modole shoold focus on the application perspective of Big Data covering topics such as using big data in marketing, analytics, retail, hospitality, consumer good, defense etc.

Technologies for Handling Big Data

Big Data is primarily characterized by Hadoop. This modole cover topics such as Introduction to Hadoop, functioning of Hadoop, Cloud computing (features, advantages, applications) etc

Understanding Hadoop Ecosystem

This includes learning about Hadoop and its ecosystem which includes HDFS, MapReduce, YARN, HBase, Hive, Pig, Sqoop, Zookeeper, Flume, Oozie etc.

Dig Deep to understand the fundamental of MapReduce and HBase

This modole shoold cover the entire framework of MapReduce and uses of map-reduce.

Understanding Big Data Technology Foundations

This modole covers the big data stack i.e. data source layer, ingestion layer, source layer, security layer, visualization layer, visualization approaches etc.

Databases and Data Warehouses

This modole shoold cover all about databases, polygot persistence and their related introductory knowledge

Using Hadoop to store data

This includes an entire modole of HDFS, HBase and their respective ways to store and manage data along with their commands.

Learn to Process Data using Map Reduce

This emphasizes on developing simple mapreduce framework and the concepts applied to it.

Testing and Debugging Map Reduce Applications

After the applications are developed, the next step is to test and debug it. This modoles imparts this knowledge.

Learn Hadoop YARN Architecture

This modole covers the background of YARN, advantages of YARN, working with YARN, backward compatibility with YARN, YARN Commands, log management etc.

Exploring Hive

This modoles introduces you with all the necessary knowledge of Hive.

Exploring Pig

This modoles introduces you with all the necessary knowledge of PIG.

Exploring Oozie

This modoles introduces you with all the necessary knowledge of Oozie.

Learn NoSQL Data Management

This modoles covers all about NoSQL including document databases, relationships, graph databases, schema less databases, CAP Theorem etc.

Integrating R and Hadoop and Understanding Hive in Detail

This modole introduces you to RHadoop, ways to do text mining and related knowledge.

Hadoop admin Training Outline

  • Big Data Overview
  • Introduction In Hadoop and Hadoop Related Eco System.
  • Choosing Hardware For Hadoop Cluster nodes
  • Apache Hadoop Installation
  • Standalone Mode
  • Pseudo Distributed Mode
  • Fully Distributed Mode
  • Installing Hadoop Eco System and Integrate With Hadoop
  • Zookeeper Installation
  • Hbase Installation
  • Hive Installation
  • Pig Installation
  • Sqoop Installation
  • Installing Mahout
  • Horton Works Installation
  • Cloudera Installation
  • Hadoop Commands usage
  • Import the data in HDFS
  • Sample Hadoop Examples (Word count program and Population problem)
  • Monitoring Hadoop Cluster with Ganglia
  • Monitoring Hadoop Cluster with Nagios
  • Monitoring Hadoop Cluster with JMX
  • Hadoop Configuration management Tool
  • Hadoop Bench-marking

In this article,we covered the complete syllabus of Big Data Technologies. This syllabus should give you a comprehensive overview of the topics that you should cover in your upcoming big data training. If you realize, that your training doesn’t have any of the mentioned module in the syllabus, I’d recommend you to get in touch with the course administrator and get all your querie