Big Data Hadoop

An open-source software framework, Hadoop allows for the processing of big data sets across clusters on commodity hardware either on-premises or in the cloud. At roughly one-thirtieth the cost of traditional data storage and processing, Hadoop makes it realistic and cost effective to analyze all data instead of just a data sample. It's a malleable solution, and it's open-source architecture enables data scientists and developers to build on top of it to form customized connectors or integrations.

  • 40 Hours
  • 250
  • Basic to Advanced
Interested in this course?
Instructor Led
20,000
Online
20,000

Quick Stats

More than 75% of Fortune 500 companies are investing or planning to invest in big data in the next two years.

The Hadoop (open source software for distributed computing) market is forecast to grow at a compound annual growth rate 58% surpassing $1 billion by 2020.

Average Salary of Big Data Hadoop Developers is $135k (Indeed.com salary data)

McKinsey predicts that by 2018 there will be a shortage of 1.5M data experts.

Benefits

Practical Hands-On

Practical hands-on training on Hadoop cluster and complete ecosystem.

Real Life Case Studies

Live projects with real-time scenarios and examples that involves big data analytics platform/framework.

Practical Assignments

Practical assignments after every class.

Who Should Attend

  • Software Developers/Professionals
  • Analytics Professionals
  • Managers
  • Decision Makers
  • Technical Infrastructure Teams
  • Architects
  • BI /ETL/DW Developers/Professionals
  • Senior IT Professionals
  • Testing Professionals
  • Freshers

Course Outcome

  • Understanding of Big Data and Hadoop architecture.
  • Understanding of Hadoop cluster and various important configurations.
  • Complete setup of Hadoop ecosystem that includes various tool and frameworks such as Hive/Beeline, Pig, Sqoop and Flume.
  • Understanding of Hadoop Distributed File System.
  • Understanding of MapReduce framework and MapReduce Application execution flow.
  • Understanding of data ingestion and analysis tools such as Hive/Beeline, Pig, Sqoop and Flume.
  • Understanding of Hive Query Language and Pig Latin Language.

Curriculum

Instructors

  • Gaurav Bansal

    Big Data and Machine Learning Consultant

    Gaurav is Big Data and Machine Learning Consultant and he has worked with multi national companies such as HCL Technologies, Samsung Research n' Development and Fidelity Investment Solutions in the past 10 years and has been working in Analytics industry since the beginning of his career.

    He has worked for international markets as an expert in Business Intelligence, Data Analytics, ....
    Gaurav is Big Data and Machine Learning Consultant and he has worked with multi national companies such as HCL Technologies, Samsung Research n' Development and Fidelity Investment Solutions in the past 10 years and has been working in Analytics industry since the beginning of his career.

    He has worked for international markets as an expert in Business Intelligence, Data Analytics, Machine and Deep Learning.

    He has worked extensively on Big Data technologies such as Apache Hadoop, Amazon Web Services, Apache Spark, Apache Flink, Apache Beam and Google Cloud Platform. He possesses good knowledge on programming languages such as Python, R and Scala. Read Less
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FAQS

Who are the Instructors?

All the instructors have a minimum of 10 years of experience in IT industries and are subject matter experts.

Can I attend a demo session before enrollment?

Yes, you can attend a demo session in any ongoing batch.

What if I miss classes?

You may choose either of the below options:

You may view the recorded session available at our management system. You may attend the missed session in other ongoing batch.