Big Data Apache Fast Track Training in Bangalore

Big data means big IT job opportunities -- for the right people

There are five broad ways in which using big data can create value :

First, big data can unlock significant value by making information transparent and usable at much higher frequency.

Second, as organizations create and store more transactional data in digital form, they can collect more accurate and detailed performance information on everything from product inventories to sick days, and therefore expose variability and boost performance. Leading companies are using data collection and analysis to conduct controlled experiments to make better management decisions; others are using data for basic low-frequency forecasting to high-frequency nowcasting to adjust their business levers just in time.

Third, big data allows ever-narrower segmentation of customers and therefore much more precisely tailored products or services.

Fourth, sophisticated analytics can substantially improve decision-making.

Finally, big data can be used to improve the development of the next generation of products and services. For instance, manufacturers are using data obtained from sensors embedded in products to create innovative after-sales service offerings such as proactive maintenance.

Hadoop on-Demand Training for :

Developers/Administrators/Project Managers/BI Architects/DB Architects/Testing/Mainframe

BigDataTraining.IN Technology focus towards project development and professional training in Big Data and Hadoop Technologies.

Course Completion Certificate + BigData Associate Certificate - unique verification code

Work on Realtime POC Project

Apache Hadoop Training in Bangalore with Hands-On Practical Approach from 27th July' 2013 - 31st July 2013 !

Course Outline:

What is Big Data & Why Hadoop?
Hadoop Overview & it’s Ecosystem
HDFS – Hadoop Distributed File System
Map Reduce Anatomy
Developing Map Reduce Programs
Advanced Map Reduce Concepts
Advanced Map Reduce Algorithms
Advanced Tips & Techniques
Monitoring & Management of Hadoop
Using Hive & Pig ( Advanced )
HBase
NoSQL
Sqoop
Deploying Hadoop on Cloud

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