Both Cloud computing and Big Data are causing fundamental changes in the conduct of business, communication, government and learning. Big Data generates far superior business intelligence (BI) for enterprise; Cloud provides services to manage this information. Cloud infrastructures offer novel database management systems (DBMSs), featuring the ability to run on commodity hardware while combining performance elasticity, fault-tolerance, scalability, and self-manageability to a degree surpassing standard enterprise IT.
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.
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BigData onDemand Training for :
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Big Data Training for FastTrack Session on Mar 29- Apr 2, 2014