Learn Big data - Course Introduction

About The Course



About Hadoop Developer Course
trainingbees, Hadoop Developer course is designed to impart the comprehensive skill set of Big Data using Hadoop. The course topics include Introduction to BIG Data, Challenges associated with Big Data, Requirement of BIG Data, Introduction to Hadoop, Utility of Hadoop, Basic Components of Hadoop, Introduction to Hadoop Ecosystems, 5 daemons of Hadoop, Overview of Hadoop Implementation.


Course Curriculum


Introduction to BIG Data and Hadoop

  

Unit 1: Introduction to BIG Data

  Challenges associated with Big Data

  Requirement of BIG Data

  Introduction to Hadoop

  Utility of Hadoop

  Basic Components of Hadoop

  Introduction to Hadoop Ecosystems

  5 daemons of Hadoop
  Overview of Hadoop Implementation

Unit 2: Hadoop Distributed File Systems
  Understanding HDFS Architecture
  Understanding How Namenode maintains the file system metadata
  Understand how data is stored in HDFS
  Understand the relationship between Namenode and Datanode
  Understand replication factor, under and over replication
  Namenode High Availability
  Rack Awareness
  Introduction and hands-on to Hadoop fs commands
  File Reading and Writing over HDFS

Unit 3: MapReduce
  Overview of MapReduce
  Understand the architecture of MapReduce
  Understand the various phases of MapReduce through Word Count Paradigm
  Programming algorithms
  Combiners and Counters
  MapReduce Types and Formats
  Understand the architecture of YARN
  Understand the components of YARN Resource Manager
  Demonstrate the relationship between Node Managers and application masters.
  Demonstrate the relationship between Resource Managers and application masters.
Unit 4 : Hadoop Installation
  Understand minimum hardware and software requirements
  CDH4 Hadoop Installation
  Understand complete deployment layout
  Understand how to configure and manage different services
Commands Practice
  Understand different configuration parameters.
  Practicing HDFS Commands
  Introduction to Hue- GUI Console

Unit 5 : PIG
  Introduction to PIG
  PIG Components
  PIG Data Types
  Functions and Macros
  Writing Scripts in PIG
  PIG Execution

Unit 6 : Hive
  Introduction to Hive
  Hive Architecture
  HiveQL
  Partitioning and Bucketing
  Managed tables and External tables
  Joining
  Functions
  SerDes

Unit 7 : Hbase
  Introduction to NoSQL Databases
  Why to use NoSQL Databases
  CAP Theorem
  HBase Concept
  HBase Architecture
  HBase Data Model, Bloom Filter, Block Cache, Schema Design

Unit 8 : Impala
  Real Time Analysis
  Impala Overview
  Impala Architecture

 Unit 9 : Basic Administrative Activities
  Service Management
  Cluster Installation
  Commissioning and Decommissioning Nodes
  Adding more clusters
  Checking Alerts and Events

Unit 10 : SQOOP
  Introduction to Sqoop
  Sqoop Tools and Commands
  Data Importing to HDFS, Hive, HBaseetc
  Data Exporting and connectors

Unit 11: Flume and Chukwa
  Introduction to Flume
  Source, Channel, and Sink
  Data Analysis using Chukwa
  Practical Use Cases

Unit 12: Oozie
  Data Level Scheduling
  Time Bound Scheduling
  Workflow, Coordinator, and Bundle

 Enroll now at here - http://bit.ly/2puhvNA

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