HADOOP Online Training

HADOOP Online Training by 123 Trainings with an excellent and real time faculty. Our Hadoop Big Data course content designed as per the current IT industry requirement. Apache Hadoop is having very good demand in the market, huge number of job openings are there in the IT world. Based on this demand 123 Trainings started providing Online classes on Hadoop Training through the various Online Training methods like Gotomeeting, Webex. We provide regular and weekend classes as well as Normal track/Fast track based on the learners requirement and availability and we provide Video classes as well for interested candidates. Learners can attend the Hadoop Training through Online classes as per their convenient  timings. As all our faculty is real time professionals our trainer will cover all the real time scenarios. We have trained many students on Apache Hadoop Big Data, We provide Corporate Trainings and Online trainings throughout the world. we have more then 200 clients across the world. Enroll the Hadoop online training course with us and make yourself Hadoop professional on Big Data Hadoop. We will give you 100% satisfaction guarantee, After completion of Hadoop Training we provide 24/7 365 days technical support for required candidates as we have many Hadoop Technical experts even we handle the projects from offshore, we reach the expectations even more then client expectation.  Only 123 trainings is the best institute in Hyderabad,India for Hadoop Online Training  learners. We will provide 100% certification support, resume preparation and Placements in USA, Canada, UK, Singapore etc. 123 Training provides best Hadoop Online Training Classes in Hyderabad India


We provide both Hadoop Development and Admin Training.

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

We also provide the Java Classes please go through the java course content