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Big Data & Hadoop Ecare Technologies Institute

₹ 15,000   ( ₹ 18,000  | 15% Off)
No. 24, 1st Floor, 2nd Main Cross Road, Vinayaka Layout, ,
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Apache Hadoop enables organizations to analyze massive volumes of structured and unstructured data and is currently very hot trend across the software tech industry. Hadoop will be adopted as default enterprise data hub by most of the enterprise soon.

This course will provide you an excellent kick start in building your fundamentals in developing big data solutions using Hadoop platform and its ecosystem tools. The course is well balanced between theory and hands-on lab (more than 15 lab exercises) spread on real world uses cases like retail data analysis, sentiment analysis, log analysis, real time trend analysis etc.


Who Should Attend?

Architects and developers, who wish to write, build and maintain Apache Hadoop jobs.



The participants should have basic knowledge of java, SQL and Linux. It is advised to refresh these skills to obtain maximum benefit from this workshop.


Learning Objectives: At the end of Hadoop Developer Training course, participants will be able to:


  • Understand Big Data, Hadoop 2.0 architecture and its Ecosystem
  • Deep Dive into HDFS and YARN Architecture
  • Writing map reduce algorithms using java APIs
  • Advanced Map Reduce features & Algorithms
  • How to leverage Hive & Pig for structured and unstructured data analysis
  • Data import and export using Sqoop and Flume and create workflows using Oozie
  • Hadoop Best Practices, Sizing and capacity planning
  • Creating reference architectures for big data solutions

Module 1: What is Big Data & Why Hadoop?

Topics covered on Introduction
  • Big Data Characteristics
  • Challenges with traditional system

Module 2: Hadoop Overview & its Ecosystem

Topics covered on Overview
  • Anatomy of Hadoop Cluster, Installing and Configuring Hadoop
  • Setting up Hadoop lab

Module 3: HDFS and YARN

Topics covered on HDFS and YARN
  • HDFS Architecture, Name Nodes, Data Nodes and Secondary Name Node
  • Understanding HDFS HA and Federation architecture
  • YARN Architecture, Resource Manager, Node Manager and Application Master
  • Hands-On Excercise

Module 4: Map Reduce Anatomy

Topics covered on MapReduce
  • How Map Reduce Works?
  • Writing Mapper, Reducer and Driver using Java APIs
  • Understanding Hadoop Data Type, Input& Output Formats
  • Hands-On Excercise

Module 5: Developing Map Reduce Programs

Topics covered on Developing MapReduce Programs
  • Setting up Eclipse Development Environment, Creating Map Reduce Projects, Debugging and Unit Testing
  • Developing a map reduce algorithm on real world scenario
  • Hands-On Excercise

Module 6: Advanced Map Reduce Concepts

Topics covered on Advanced MapReduce
  • Combiner, Partitioner, Counter, Setup and cleanup, Distributed Cache
  • Passing parameters, Multiple Inputs, Chaining multiple jobs
  • Applying Compression, Speculative Execution, Zero Reducers
  • Handling small files and bad records
  • Handling Binary data like images, documents etc.
  • Map and Reduce Side Joins, data partitioning
  • Hands on Exercises

Module 7: Sqoop

Topics covered on Sqoop
  • Importing and exporting data using Sqoop and Flume
  • Hands on Exercise

Module 8: Hive

Topics covered on Hive
  • Hive Architecture, Internal & External Tables, Partitioning, Buckets
  • Writing queries – Joins, Union, Dynamic partitioning, Sampling
  • Writing UDFs, reading different data formats and best practices
  • Hands on Exercise

Module 9: Pig

Topics covered on Pig
  • Pig Basics, Loading data files
  • Writing UDFs and best practices
  • Hands on Exercise

Module 10: Hadoop Best Practices, Advanced Tips & Techniques

Topics covered on Best Practices and advances tips and tricks
  • Managing HDFS and YARN
  • Hadoop Cluster sizing, capacity planning and optimization
  • Hadoop Deployment options
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hadoop ecare technologies bangalore course
Price: ₹ 15,000
Start-End Dates: 25 Jun 16 - 24 Jul 16
Course Duration: 30 days
Discount: 25%
Instructional Level: Appropriate for All
Live Projects
Doubt Clearing Sessions
Reading Material
EMI Option
Online Support
Post completion course access
Practice Exams
Placement assistance
Refund Policy
Post completion support

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