Startup your career with Big Data Hadoop (Hands-on day workshop)

Startup your career with Big Data Hadoop (Hands-on day workshop)


  • Earlybird offer

    Sale Date Ended

    INR 899
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  • Regular

    Sale Date Ended

    INR 4500
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About The Event

6 hours of session

This One-day, hands-on workshop will help you learn Big data & Hadoop Technologies with Hands-on modules. This will add a new set of technologies to your profile, creating more career opportunities for you.

Electronic Device Requirement: 2GB RAM, 64 bit, Windows7 (or) later, 40 GB HOD, Laptop Mandatory.


What is Big Data and where it is produced?

  • Rise of Big Data
  • Compare Hadoop vs traditional systems
  • Limitations and Solutions of existing Data Analytics Architecture
  • Attributes of Big Data
  • Types of data
  • Other technologies vs Big Data
  • What is Hadoop?
  • Hadoop History and Creation
  • Hadoop 1.x vs Hadoop 2.x Architecture
  • Distributing Processing System
  • Core Components of Hadoop
  • HDFS Architecture
  • Hadoop Master – Slave Architecture
  • Daemon types
  • Learn NameNode, DataNode,
  • Secondary NameNode
  • Basic MapReduce API Concepts
  • Writing MapReduce Driver, Mappers, and Reducers in Java
  • Speeding Up Hadoop Development by Using Eclipse
  • Unit Testing MapReduce Programs
  • Word Count example
  • Weather report use case
  • What is Hadoop Cluster?
  • Pseudo Distributed mode
  • Type of clusters
  • Hadoop Ecosystem
  • PIG Architecture & Data types
  • Shell and Utility components
  • What is Hive?
  • Hive DML – Load Files & Insert Data
  • Hive Architecture & Components
  • Difference between Hive and RDBMS

Who should attend: IT Professionals / Software Developers / Q&A Professionals / Team / Tech Leads / Project Managers / Decision Makers and Students who like to explore this technology.

Takeaways: A certificate and Hadoop learning material (e-books)

Please Note:

It is strongly recommended that you bring a Wi-Fi-enabled laptop (with windows OS) for a more hands-on experience.
Please follow Google Maps to avoid confusion in locating address.
Reach the venue 30 minutes prior to start time as there are many topics to cover.

Venue Map