Hadoop is an Apache open source framework written in java that allows distributed processing of large datasets across clusters of computers using simple programming models. A Hadoop frame-worked application works in an environment that provides distributed storage and computation across clusters of computers. Hadoop is designed to scale up from single server to thousands of machines, each offering local computation and storage.

DURATION : (50-60 hours)

PREREQUISITES : No specific programming background needed.

TRAINING HIGHLIGHTS : Trainer is having total 12 years of experience and actual 3 years experience in Hadoop.This training gives student hands on experience on Hadoop technology and leads him to a successful career in Hadoop Administration Job , Development or Testing.

Demand of Hadoop professionals is up!

The potential that Hadoop carries depends on how it is being used for various initiatives. Hadoop classes in Pune and other leading centers are oriented to develop the core skills that allow the professionals to engage in user friendly and objective analyses of real utility in business decisions. No wonder, we today find high demand of such professionals who can assist in predictive analytics through their Hadoop skills. They have plenty of scope to move through the super data pools that were till now unutilized and lying defunct as burden! With proper use of analytics functions and using the power of Hadoop automation processing, vital leads and predictions are now being derived.

1. Introduction to BigData
2. Hadoop (Big Data) Ecosystem
3. Building Blocks
4. Hadoop Cluster Architecture – Configuration Files
5. Hadoop Core Components – HDFS & Map Reduce (YARN)
6. HDFS Overview & Data storage in HDFS
7. Data Integration Using Sqoop and Flume
8. Data Analysis using PIG
9. Data Analysis using HIVE
10. Data Analysis Using Impala
11. NoSQL Database – Hbase
12. Hadoop – Other Analytics Tools
13. Other Apache Projects
14. Spark
15. Final project