Star BIGDATA Programming

Big Data Hadoop training will make you an expert in HDFS, Map Reduce, H base, Hive, Pig Yarn, Ozzie, Flume and sqoop using real-time use cases on Retail, Social Media, Aviation, Tourism, Finance Domain. It equips you with in-depth knowledge of writing codes using Map Reduce framework and managing Large Data Sets with H Base. The Topics Covered in this course mainly includes- Hive, Pig, and setup of Hadoop Cluster.

Audience

Any Graduate professionals with knowledge in Java programming background are eligible for learning Big Data Hadoop Training. A basic knowledge of any programming language like Java, C or Python, and Linux is always an added advantage and also strong knowledge of Concepts of oops.

BIGDATA Programming Objectives

In the course, you will learn about:

  • The basics of Hadoop, MapReduce, Pig Latin (the coding language).
  • The basics of Analytics - Concepts, Data preparation - merging managing missing numbers sampling, Data visualization, Basic statistics.
  • Lots of practice to ensure that we are very comfortable handling an Analytics project on Big Data.

Course Outcome

After completing this course, you will be able to:

  • At the end of the module, students Will possess the skills necessary for utilizing tools (including deploying them on Hadoop/MapReduce) to handle a variety of big data analytics, and to be able to apply the analytics techniques on a variety of applications.

Table of Contents outline

  • What is Big Data
  • How Big Data helps in Solving Problems.
  • Business Intelligence as an initial step to enter the Big Data Field.
  • Solving Real life problems using Information Technology and Bl.
  • Classifying Data available on the Networks.
  • OLTP and OLAP Data.
  • BI- Business Intelligence: Must for Analytics.
  • Data Warehousing: Must for Decision management.
  • Data Modeling: Conceptual to Physical Design.
  • Measures, Metrics, KPIs and Performance Management.
  • Generating Report and Dashboards.
  • Statistics and B'.
  • Data Mining: Examining and Generating Information.
  • Analytics in Real Life.
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