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.
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.
In a recent survey, 46% of Big Data practitioners report that they have only realized partial value from their Big Data deployments. An unfortunate 2% declared their Big Data deployments total failures, with no value achieved.
The three compelling reasons for this struggle to achieve maximum business value form Big Data are:
� A lack of skilled Big Data practitioners.
� �Raw� and relatively immature technology.
� A lack of compelling business use case.
Register now !
+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.
Visit Us: #67, 2nd Floor, Gandhi Nagar 1st Main Road, Adyar, Chennai-20
Big Data Training for FastTrack Session!
5 Days Classroom Training on - 1st March 2014 to 5th March 2014