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Big Data Analytics on Hadoop

Big Data Analytics

Duration: 2 Days


This course is recommended as an advancement to Processing BigData on Hadoop. While Processing BigData was geared more towards developers 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.

Big 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.

Why is BigData Analytics on Hadoop important?

  • Businesses are now aware of the large volumes of data that they generate in their day to day transactions. They have also
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  • 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
  • Lots of practise to ensure that we are very comfortable handling an Analytics project on BigData

Who Should Attend

  • Data analysts / Data scientists who want to know how to use their expertise on Big Data
  • Database Managers with a knowledge of Hadoop / Java who want to know what to do next in their career and how to manage and draw insights from their data
  • Consultants who want to know what Big Data analytics is


Course Outline

Day 1

  • 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

Day 2

  • Data visualisation-Graphs , Charts – the basics
  • Normal Distribution
  • Correlation , Covariance
  • Sampling
  • Hypothesis Testing

About the Trainer

Bhavesh Goswami
Founder & CEO


Bhavesh Goswami the Founder & CEO of CloudThat Technologies, is a leading expert in Cloud Computing space with over a decade of experience. He was in the initial development team of Amazon Simple Storage Service (S3) at Amazon Web Services (AWS) in Seattle. He honed his Cloud Computing skills at Amazon where he helped ship the first version of S3 in 2006. Later he moved to Microsoft after over three years at Amazon to take up the challenge to help manage Cosmos, the Cloud storage and Big Data computational engine that powers all of the Microsoft’s Online Services, including Bing.

After living in the USA for over 10 years, he came to India in search of a challenge and Co-Founded CloudThat Technologies. He has personally trained over thousands of people on various Cloud technologies like AWS, Microsoft Azure, Google App Engine and more since early 2012.

Bhavesh has spoken at various Cloud and Big Data conferences and events like ‘7th Cloud Computing & Big Data’ and have been the Key Note Speaker at ‘International Conference on Computer Communication and Informatics’. He has authored numerous research papers and patents in various fields. He is passionate about technology and keeps the company up to date on latest Cloud technologies & market trends.

He holds following Certifications:

  • AWS Certified Solutions Architect – Professional Level
  • AWS Certified DevOps Engineer – Professional Level
  • MCT (Microsoft Certified Trainer)
  • MCSD (Microsoft Certified Solutions Developer)

AWS Solutions Architect Professional AWS DevOps Engineer Professional
Microsft Certified Trainer Microsft Certified Solutions Deveoper

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