Big Data Architect Training, Bangalore (Mar 29th to 2nd Apr 2014)

10/02/2014 Professional & Short Term Course

Price: Check with seller

Description


Hadoop, NoSQL and massively parallel analytic databases are not mutually exclusive. Far from it, we believe the three approaches are complimentary to each other and can and should co-exist in many enterprises. Hadoop excels at processing and analyzing large volumes of distributed, unstructured data in batch fashion for historical analysis. NoSQL databases are adept at storing and serving up multi-structured data in near-real time for web-based Big Data applications. And massively parallel analytic databases are best at providing near real-time analysis of large volumes of mainly structured data.

Hadoop: Hadoop is an open source framework for processing, storing and analyzing massive amounts of distributed unstructured data. Originally created by Doug Cutting at Yahoo!, Hadoop was inspired by MapReduce, a user-defined function developed by Google in early 2000s for indexing the Web. It was designed to handle petabytes and exabytes of data distributed over multiple nodes in parallel.

http://www.hadooptrainingbangalore.in/

Providing effective business analytics tools and technologies to the enterprise is a top priority of CIOs and for good reason. Effective business analytics � from basic reporting to advanced data mining and predictive analytics � allows data analysts and business users alike to extract insights from corporate data that, when translated into action, deliver higher levels of efficiency and profitability to the enterprise.

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+919789968765 / 04442645495
BigData onDemand Training for :
Developers/Administrators/Project Managers/BI Architects/DB Architects/Testing/Mainframe

Special discounts for Early bird registration
Group discounts available.
9789968765
info@bigdatatraining.in
Visit Us: #67, 2nd Floor, Gandhi Nagar 1st Main Road, Adyar, Chennai-20


Big Data Training for FastTrack Session!
 5 Days Classroom Training on - 29th March 2014 to 2nd April 2014

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