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Data is being generated at an ever increasing rate. It is originating not only from the conventional sources such as business interactions, scientific research and social media, but also from newer agents like millions of devices that are collectively known as the “Internet of Things” or IOT. This massive quantity of data is impacting the way in which we approach the task of “problem solving”. Instead of creating very specific algorithms targeting specific problems, it is being asked: “Can we have systems that intelligently learn from the available data – and also adapt themselves to changing situations?” While Big Data addresses the issue of handling very large data, the field of Data Analytics and Machine Learning is more concerned with “extracting hidden intelligence” from the available data. Thus Data Analytics is the “brain” while Big Data is the muscle power!
Mastering Data Analytics will create a strong foundation for facing the data challenges of the near and the far future, and position you for a promising professional future!
Big Data Strategy Definition
Architecting Data Platform
Building End To End Analytics Application
Front End Re-Engineering
Back End Re-Engineering
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