Tel: +1 (713) 570-9633
Email: info@corptechit.com
UI/Web Professional IT Training CenterBuilding World Class IT Professional Online TrainingOwn your future learning new skills online

UI/Web Professional IT Training Center

CorptechIT has fast become one of the most sought after disciplines by companies today

Read More

Building World Class IT Professional Online Training

For the skilled manpower in high end technology courses like SAP, SAP-MM, SAP-WM, SAP-SRM, SAP-PP, SAP-SD, SAP-FICO, SAP-APO, SAP-BW/BI,SAP HANA and ERP domains.

Read More

Own your future learning new skills online

CorptechIT is all the more effective as it is very flexible and convenient and can be undertaken at any time even by working professionals.

Read More

HADOOP

CorptechIT provides Online Training by experienced IT professionals. Our faculties dedicated to complete your course as per the schedule given. We record the class from your end to refer the classes once again whenever is required. Hadoop Online Training being a really important module, we have taken precise steps in teaching a full-fledged Hadoop Online Training course curriculum that covers all the concepts. Our customer support team and trainers will solve all your queries as and when required. Hadoop Online Training has got the right training that can fulfill a candidate’s training expectations. We see to that the value and quality of our Hadoop Online Training will not be compromised at all. We will market your resume in USA, UK, SINGAPORE, NEWZELAND, CANADA, AUSTRALIA, JAPAN, SWEDEN, and SOUTH AFRICA. We clarify your questions during the training even after the course completion. After completion of training in Hadoop we will help you to assist you to get certified on Hadoop. We will give you 100% Satisfaction.

Hadoop Online Training Course Content

Introduction

  • What is Hadoop?
  • History of Hadoop
  • Hadoop Basic Concepts
  • Building Blocks – Hadoop Eco-System
  • Who is behind Hadoop?
  • What Hadoop is good for and why it is Good

HDFS(Hadoop Distributed File System)

  • Configuring HDFS
  • Interacting With HDFS
  • HDFS Permissions and Security
  • Additional HDFS Tasks
  • HDFS Overview and Architecture
  • HDFS Installation
  • Hadoop File System Shell
  • File System Java API

Introduction to Distributed systems

  • High Availability
  • Scaling
  • Advantages

Introduction to Big Data

  • Big Data opportunities
  • Big Data Challenges

Hadoop Eco Systems

  • Introduction to Pig
  • Introduction to Hive
  • Introduction to HBase
  • Other eco system Map

Hadoop Administration

  • Hadoop Installation & Configuration
  • Setting up Standalone system
  • Setting up pseudo distributed cluster
  • Setting up distributed cluster

Map Reduce

  • Map and Reduce Basics.
  • How Map Reduce Works
  • Anatomy of a Map Reduce Job Run
  • Job Submission, Job Initialization, Task Assignment, Task Execution
  • Progress and Status Updates
  • Job Completion, Failures
  • Shuffling and Sorting.
  • Combiner
  • Hadoop Streaming

Map/Reduce Programming – Java

  • Hands on “Word Count” in Map/Reduce in Eclipse
  • Sorting files using Hadoop Configuration API discussion
  • Emulating “grep” for searching inside a file in Hadoop
  • Chain Mapping API discussion
  • Job Dependency API discussion and Hands on
  • Input Format API discussion and hands on
  • Input Split API discussion and hands on
  • Custom Data type creation in Hadoop

Distributing Debug Scripts Using Yahoo Web Services

  • Pig
  • Pig Overview
  • Installation
  • Pig Latin
  • Pig with HDFS
  • Hive
  • Hive Overview
  • Installation
  • Hive QL
  • Hive Unstructured Data Analyzation
  • Hive Semi structured Data Analyzation
  • HBase
  • HBase Overview and Architecture
  • HBase Installation
  • HBase Shell
  • CRUD operations
  • Scanning and Batching
  • Filters
  • HBase Key Design
  • Zookeeper
  • Zoo Keeper Overview
  • Installation
  • Server Mantainace
  • Sqoop
  • Sqoop Overview
  • Installation
  • Imports and Exports

Configuration

  • Basic Setup
  • Important Directories
  • Selecting Machines
  • Cluster Configurations
  • Small Clusters: 2-10 Nodes
  • Medium Clusters: 10-40 Nodes
  • Large Clusters: Multiple Racks
  • Integrations

Getting Started With Eclipse IDE

  • Configuring Hadoop API on Eclipse IDE
  • Connecting Eclipse IDE to HDFS

Putting it all together

  • Distributed installations
  • Best Practices
-->