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Big data, Analytics & Hadoop - Big Data Analytics - Trainings & Certification Courses in 'Delhi-NCR'

( 1  found)

Big data has increased the demand for information management specialists. Leading businesses across the globe are spending billions of dollars on software firms that specialize in data management and analytics.

The Big Data Analytics course is a lab based workshop that covers the main steps involved in executing an analytics project using a case study based on real business data.
By the end of the training, you would have acquired the level of understanding of the analytics framework essential to solving real time business problems besides basic knowledge of manipulating large data sets in R.

Big data is a popular technology trend which works on the available and real time information captured from web logs, social media, and even day to day user activities. Big data analytics is a process driven exercise to assimilate, organize, and analyze big sets of data to arrive at key facts which can be extremely helpful for decision making bench in an organization.

Business enterprises want to find actionable data for forecasting and predicting on their business development and sustenance policies.In many instances, appropriate usage of big data has resulted in improvisation of decision accuracy, efficient resource utilization and most importantly achieving stability.

The big data analytics training is not only helpful in understanding the concepts of cutting edge technology but it also builds up a concrete platform to identify the productive data relevant to business development and expansion.

Big Data Analytics Course Schedule in Various Cities:

Bangalore     Chennai    Delhi-NCR    Hyderabad    Mumbai    Pune       Online/E-learning

  • India Analytics and Big data summit 2017

    From January 19, 2017 09:02 until January 20, 2017 08:12
    • At: Delhi-NCR Delhi 110001, India
    • Request a Call Back
    • Request A Brochure
    • Categories: Big data, Analytics & Hadoop - Big Data Analytics
    • Tags: Professional Event, Duration 1 Day, Duration 2 Days
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