Bigdata Training Online

Comprehensive Bigdata Training Online

bigdata training online

Why learn Big Data and Hadoop?

5 Reasons to Move to Big Data

  • You’ll Manage Data Better
  •  You’ll Benefit From Speed, Capacity and Scalability of Cloud Storage
  • Your End Users Can Visualize Data
  • Your Company Can Find New Business Opportunities
  • Your Data Analysis Methods, Capabilities Will Evolve

Who should go for this course?

IT professionals, or anyone who is looking towards building a career in Big Data and Hadoop are ideal participants for the Big Data and Hadoop training. Additionally, it is suitable for participants who are-
  • Data Management professionals
  • Data warehousing professionals
  • Business intelligence professionals
  • Graduates

Course Contents

The Motivation for Hadoop

  • Problems with Traditional Large-Scale Systems
  • Introducing Hadoop
  • Hadoopable Problems

Hadoop: Basic Concepts and HDFS

  • The Hadoop Project and Hadoop Components
  • The Hadoop Distributed File System

Introduction to MapReduce

  • MapReduce Overview
  • Example: WordCount
  • Mappers
  • Reducers

Hadoop Clusters and the Hadoop Ecosystem

  • Hadoop Cluster Overview
  • Hadoop Jobs and Tasks
  • Other Hadoop Ecosystem Components

MapReduce

  • Introduction to MapReduce Objectives
  • MapReduce – Introduction
  • MapReduce – Analogy
  • MapReduce – Analogy
  • MapReduce – Example
  • Map Execution
  • Map Execution – Distributed Two Node Environment
  • MapReduce Essentials
  • MapReduce Jobs
  • MapReduce Engine
  • MapReduce and Associated Tasks
  • MapReduce Association with HDFS

Pig

  • About Pig,
  • MapReduce Vs Pig
  • Pig Use Cases
  • Programming Structure in Pig
  • Pig Running Modes
  • Pig components
  • Pig Execution
  • Pig Latin Program
  • Data Models in Pig
  • Pig Data Types

Hive

  • Hive Background
  • Hive Use Case
  • About Hive
  • Hive Vs Pig
  • Hive Architecture and Components
  • Metastore in Hive
  • Limitations of Hive
  • Comparison with Traditional Database
  • Hive Data Types and Data Models
  • Partitions and Buckets
  • Hive Tables(Managed Tables and External Tables)
  • Importing Data
  • Querying Data
  • Managing Outputs
  • Hive Script
  • Hive UDF
  • Hive Demo on Healthcare Data set

HBase

  • HBase Data Model
  • HBase Shell
  • HBase Client API
  • Data Loading Techniques
  • ZooKeeper Data Model
  • Zookeeper Service
  • Zookeeper
  • Demos on Bulk Loading
  • Getting and Inserting Data
  • Filters in HBase

 

Bigdata Training Online / Classroom

http://www.bigdatatraining.in/contact/

Call – +91 9789968765 / +91 99627 74619 / 044 – 42645495