HADOOP Online Training

Hadoop Online Training:

Attain Technologies providing excellent HADOOP Online Training Classes by real time IT Professionals Our trainers has more then 10 years of work experience. we also provide corporate training for multiple countries like USA, UK SINGAPORE, CANADA, DUBAI, SOUTH AFRICA. Our training methodology is very unique we have 1 to 1 classes batch classes and we provide online classes according to the students requirements we also provide interview support as part of it we conduct mock interviews and we provide interview questions so that you will be able to clear your interview in very less attempts we also offering job or technical support with our experts. Here complete environment would be in real time, so that once after the training you will be able to work on any project after the training. we will give you placement assistance in USA for required candidates.

Please Watch this Demo Class-1   by Certified Professional

Please Watch this Demo Class-2 by Certified Professional

Apache’s Hadoop BIG DATA’s foremost advantages:
scalable:We can go for cluster expanssion so that we can increase cluster capacity, and also can add N number of nodes
fault-tolerant:Hadoop Big DATA It self going to restarts jobs which are failed
low cost – Hadoop will be running on Basic hardware

HADOOP Online Training Course Content :

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

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

Map/Reduce Overview and Architecture
Developing Map/Red Jobs
Input and Output Formats
Job Configuration
Job Submission
Practicing Map Reduce Programs (atleast 10 Map Reduce Algorithms )

4.Getting Started With Eclipse IDE
Configuring Hadoop API on Eclipse IDE
Connecting Eclipse IDE to HDFS

5.Hadoop Streaming

6.Advanced MapReduce Features

Custom Data Types
Input Formats
Output Formats
Partitioning Data
Reporting Custom Metrics
Distributing Auxiliary Job Data

7.Distributing Debug Scripts

8.Using Yahoo Web Services

Pig Overview
Pig Latin
Pig with HDFS

10. Hive
Hive Overview
Hive QL
Hive Unstructured Data Analyzation
Hive Semistructured Data Analyzation

HBase Overview and Architecture
HBase Installation
HBase Shell
CRUD operations
Scanning and Batching
HBase Key Design

Zoo Keeper Overview
Server Mantainace

Sqoop Overview
Imports and Exports

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


16.Putting it all together
Distributed installations
Best Practices