top big data trends for 2016

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Page 1: Top Big Data Trends for 2016
Page 2: Top Big Data Trends for 2016

We are all intrigued to know what Big Data might have in store for

the upcoming year.

Page 3: Top Big Data Trends for 2016

Will 2016 see major changes and advancements in the use of big

data?

Page 4: Top Big Data Trends for 2016

Will the changes in big data have a ripple effect

on the way organizations function?

Page 5: Top Big Data Trends for 2016

What follows are the ones that made to the top of the list!

Page 6: Top Big Data Trends for 2016

A Place for Quantum Computing

Recent work by Australian researchers from the University of NSW has been a breakthrough in the field of quantum computing making it an imminent reality.

Page 7: Top Big Data Trends for 2016

The Rise of Fog ComputingWith cloud computing finding its niche in IT and Internet of Things finding a place in Gartner’s 2015 Hype Cycles, fog computing could just enhance its popularity scores.

Page 8: Top Big Data Trends for 2016

More Focus on SecurityIn 2016, focus will be on maintaining high security scrutiny to prevent any sort of security breach rather than trying to bootstrap once the mishap occurs.

Page 9: Top Big Data Trends for 2016

People Analytics to Gain TractionPeople analytics will become a part of every HR department in the near future letting the organization collect people-related data at an individual, team or organizational level to leverage business goals.

Page 10: Top Big Data Trends for 2016

Green Light to Self-Service AnalyticsThe simplification of analytics will bring reduce the skill set gap between data scientists and the untrained making companies save money on hiring analytics experts. 

Page 11: Top Big Data Trends for 2016

More Blockchain Followers A lot of organizations and industries will

adopt blockchain technology in the upcoming year.

These industries may include financial industry, legal industry, real estate, notaries and gambling.

Page 12: Top Big Data Trends for 2016

Emergence of Data Lake-as-a-Service In 2016, all your data lake

building and maintenance will become hassle-free with the emergence of Data Lake-as-a-Service Solutions.

These solutions will find many buyers especially smaller organizations and startups in the IoT domain.

Page 13: Top Big Data Trends for 2016

Newfound interest in algorithms Algorithms are very specific

about everything, perhaps better than human decision making.

In 2016, algorithmic business will find its way as algorithms will be deployed as specific artificial intelligence.

Page 14: Top Big Data Trends for 2016

Big Data to get a Political and Personal Angle The use of big data as a business

function will become less frequent as it will get broken down into the sum of its parts.

Big data is now being experimented by governments and soon enough it may gain a place in the political realm.

Page 17: Top Big Data Trends for 2016

For any queries on Big Data Solutions

Page 18: Top Big Data Trends for 2016

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