A1TrainingsOnline Big Data Hadoop Training in

USA,UK,Canada,Australia,Dubai,Hyderabad,Bangalore,Mumbai

Hadoop Course Content

Introduction to Big Data and Hadoop Hadoop ecosystem – Concepts Hadoop Map-reduce concepts and features Developing the map-reduce Applications Pig concepts Hive concepts Oozie workflow concepts Flume Concepts Hue Concepts HBASE Concepts Real Life Use Cases

During this course, you will learn:

Basics Installations Backups Snapshots

Virtual box/VM Ware

Basics Installations Commands

Linux

Why Hadoop? Scaling Distributed Framework Hadoop v/s RDBMS Brief history of hadoop

Hadoop

Pseudo mode Cluster mode Ipv6 Ssh Installation of java, hadoop Configurations of hadoop Hadoop Processes ( NN, SNN, JT, DN, TT) Temporary directory UI Common errors when running hadoop cluster,

solutions

Setup hadoop

HDFS Design and Architecture HDFS Concepts Interacting HDFS using command line Interacting HDFS using Java APIs Dataflow Blocks Replica

HDFS- Hadoop distributed File System

Name node Secondary name node Job tracker Task tracker Data node

Hadoop Processes

Developing Map Reduce Application Phases in Map Reduce Framework Map Reduce Input and Output Formats Advanced Concepts Sample Applications Combiner

Map Reduce

Map-side join Reduce-Side join

Joining datasets in Mapreduce jobs

Custom Input format class Hash Partitioner Custom Partitioner Sorting techniques Custom Output format class

Map reduce – customization

Introduction Installation and Configuration Interacting HDFS using HIVE Map Reduce Programs through HIVE HIVE Commands Loading, Filtering, Grouping…. Data types, Operators….. Joins, Groups…. Sample programs in HIVE

Hadoop Programming Languages :-I).HIVE

Basics Installation and Configurations Commands…. OVERVIEW HADOOP DEVELOPER

II).PIG

Problems with traditional large-scale systems

Requirements for a new approach

IntroductionThe Motivation for Hadoop

Map-side join Reduce-Side join

Hadoop: Basic Concepts

An Overview of Hadoop The Hadoop Distributed File System Hands-On Exercise How MapReduce Works Hands-On Exercise Anatomy of a Hadoop Cluster Other Hadoop Ecosystem Components

Introduction

The MapReduce Flow Examining a Sample MapReduce Program Basic MapReduce API Concepts The Driver Code The Mapper The Reducer Hadoop’s Streaming API Using Eclipse for Rapid Development Hands-on exercise The New MapReduce API

Writing a MapReduce Program

Sorting and Searching Indexing Machine Learning With Mahout Term Frequency – Inverse Document

Frequency Word Co-Occurrence Hands-On Exercise.

Common MapReduce Algorithms

Data loading in PIG. Data Extraction in PIG. Data Transformation in PIG. Hands on exercise on PIG.

PIG Concepts..

Hive Query Language. Alter and Delete in Hive. Partition in Hive. Indexing. Joins in Hive.Unions in hive. Industry specific configuration of hive

parameters. Authentication & Authorization. Statistics with Hive. Archiving in Hive. Hands-on exercise

Hive Concepts.

Introduction. Import Data. Export Data. Sqoop Syntaxs. Databases connection. Hands-on exercise

Working with Sqoop

Introduction. Configuration and Setup. Flume Sink with example. Channel. Flume Source with example. Complex flume architecture. OOZIE Concepts IMPALA Concepts HUE Concepts

Working with Flume--------------02 Hours

Tableau Software… 1.Tableau Fundamentals. 2.Tableau Analytics. 3.Visual Analytics. 4. Hands-on exercise

Reporting Tool:

Contact Info Address: Madhapur, Hyderabad. Email: contact@a1trainings.com Call us: 7680813158 Web: www.a1trainings.com

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