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Big Data with Hadoop

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Jayanagar 9th Block, Bangalore

Course ID: 42220

Jayanagar 9th Block, Bangalore

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About the Course

This course is best suited for those who want to gain Big Data & Hadoop skills to:



  • Store & process huge data sets

  • Build, deploy and run MapReduce applications on Hadoop clusters

  • Importing & exporting data from various sources

  • Develop distributed code using the Java/Python programming language

  • Doing analytics using MapReduce, Pig, Hive, HBase, Mahout & other tools


Course Outline

































































Introduction to Hadoop and the Hadoop Ecosystem


  • Challenge with traditional enterprises systems

  • A brief introduction about Big Data & Hadoop

  • Hadoop eco-system tools

  • Introduction to the hands-on exercises


Hadoop Architecture and HDFS


  • Understanding distributed processing

  • Storage: HDFS architecture

  • Resource Management: YARN architecture


Deep dive into HDFS


  • Understanding HDFS concepts in detail

  • Few basic configurations

  • What is NameNode?

  • What is DataNode?

  • HDFS commands hands-on using online lab


Deep dive into YARN & Map Reduce


  • Understanding YARN concepts in detail

  • Few basic configurations

  • Understanding MapReduce â?? Mapper,Reducer & other concepts

  • Flow of a complete MapReduce job

  • Saving & checking MapReduce job output

  • Working on MapReduce projects using online lab


Working with Hive


  • Introduction to Hive

  • Data formats, built in operators and functions

  • Learning HQL â?? Creating database, tables & querying data

  • Partitions, buckets & indexing

  • Advanced Hive


Introduction to Pig


  • Overview

  • Working with data types, built in operators & functions

  • Important commands hands-on

  • Running Pig scripts in local & MapReduce mode

  • Working with UDFs

  • Advanced Pig


Zookeeper


  • Introduction to Zookeeper

  • Architecture of ZooKeeper â?? Services & Data models

  • Understanding workflow

  • Znodes, Shell, Watches

  • Various concepts â?? Leader election, Request processor, Atomic Broadcast, In-memory Database

  • Benefits & its use cases


NoSQL & HBase


  • Introduction to NoSQL

  • Introduction to HBase â?? what, how

  • Data model & schema design

  • Hands-on using HBase shell

  • Understanding Region servers

  • Advanced HBase


Flume, Sqoop, Oozie


  • Understanding Flume & its architecture

  • Flume agents

  • Working with diffrent data sources

  • Understanding Sqoop & its architecture

  • Import & export using Sqoop

  • Running Sqoop job

  • Understanding Oozie & its architecture

  • Oozie workflow

  • Oozie Coordinator

  • Hands-on exercises


Mahout


  • Overview

  • Basics of machine learning

  • Recommendaion engine

  • Hands-on examples of recommendations


Date and Time

Not decided yet.

About the Trainer

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0 Reviews

0 Students

2 Courses

He has 12+ years of IT experience, he has worked in aviation domain and vast experience in data analytics.

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