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Big Data Analytics on Hadoop Training

Live Online & Classroom Enterprise Training

This course is recommended as an advancement to Processing BigData on Hadoop.

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What is Big Data Analytics Training about?

This big data analytics on hadoop course is recommended as an advancement to Processing BigData on Hadoop. While Processing BigData was geared more towards devlopers who wanted to understand how to use Hadoop to handle and arrange BigData this course will go on to teach how to perform analytical operations to gain insights from data processed through Hadoop. BigData Analytics on Hadoop will teach you all you need to learn about BigData Analytics on Hadoop.nBig Data is a popular term used to describe the exponential growth availability and use of information both structured and unstructured. It is imperative that organizations and IT leaders focus on the ever-increasing volume variety and velocity of information that forms BigData. Hadoop is the core platform for structuring BigData and solves the problem of making it useful for Analytics.

What are the objectives of Big Data Analytics Training ?

At the end of Big Data Analytics on Hadoop training course, the participants will learn:

  • The basics of Hadoop , Mapreduce, Pig Latin (the coding language)
  • The basics of Analytics - Concepts , Data preparation - merging, managing missing numbers sampling , Data visualisation, Basic statistics
  • Handling an Analytics project on BigData

What are the prerequisites for Big Data Analytics Training?

Must Have

  • A thorough understanding about Big Data and Hadoop

Available Training Modes

Live Online Training

12 Hours

Classroom Training

2 Days

Course Outline Expand All

Expand All

  • What is Big Data? What is Hadoop?
  • Anatomy of HDFS; blocks of data ;
  • How to extract data from Hadoop- basic understanding of how to write code
  • Map reduce - a programmer's tool - brief introduction
  • Pig Latin - Reading data - data retrieval ; saving datasets
  • Data Preparation and Management - Types of variables - Identifying the business Y - Basic Statistics - Merging and Appending data - Primary key concept - Missing values - Outliers -
  • Data visualisation-Graphs , Charts - the basics
  • Normal Distribution
  • Correlation , Covariance
  • Sampling
  • Hypothesis Testing - T Test - Annova -

Who is the instructor for this training?

The trainer for this Big Data Analytics on Hadoop Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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