Big Data

Top Big Data Trends for 2016

Top Big Data Trends for 2016

Posted by: Letterbug
Category :Big Data

big data 2016


The Big Data hype is reaching a new high as the year is drawing to an end. We are all intrigued to know what big data might have in store for the upcoming year. Will 2016 see major changes and advancements in the use of big data? Will the changes in big data have a ripple effect on the way organizations function? To know the exact answers to these questions, we will have to be patient. Nonetheless, we can always predict the upcoming trends that might unfold in 2016. What follows are the ones that made to the top of the list.

A Place for Quantum Computing

 Quantum computing has remained as a futuristic notion for a notably long time. 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. In Information Technology, a fully functional quantum computer is considered as the holy grail. It is much sought after because it is supposed to be emphatically more powerful than the most advanced supercomputers we have today. It is possible that quantum computing will make its presence noticeable in 2016.

The Rise of Fog Computing

With 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. Fog computing is a cloud computing design that enables superior handling of real-time big data sets. 2016 will see more of fog analytics with which the smart devices can perform a part of the analytics locally which reduces the need to send all data to the cloud. This saves both time and money.

More Focus on Security

When everything is set to go digital, the prominence of big data security should never be overlooked. Data breaches like that of the Ashley Madison was huge and kept making rounds in the media for quite some time. Recent hackings have made every organization rethink its current security status. In 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.

People Analytics to Gain Traction

Human resource is undisputedly one of the most significant assets for any organization and this has been the case from time immemorial. However, the advent of people analytics has made to put the talent not only in the spotlight but also under regular scrutiny. This big data technology is not entirely new, but 2016 will see more of it as recent research has shown the growing concern over availability of key skills within the organizations among US CEOs.

People 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.

Green Light to Self-Service Analytics

Recent data visualization and automation software have been working on simplifying analytics. This trend will continue in 2016 and analytics will be manageable by almost anybody. This trend will have a promising aspect as the organizations are now completely relying of professionals to make out of the analytics. The simplification of analytics will bring reduce the skill set gap between data scientists and the untrained making companies save money on hiring analytics experts. This trend may also lead to encouragement in analytics being outsourced.

More Blockchain Followers

Blockchain is primarily connected with Bitcoin, but the technology offers a myriad of possibilities. Basically, blockchain is a public record of digital events. It is shared by multiple parties geographically and computationally isolated and the record can only be updated if the majority of parties consent to it. This consensus-based public ledger offers complete transparency of every entry in the record while resisting any scope for unauthorized tampering. What is more important is that this record despite its visibility to anyone, does not compromise privacy. This would imply that the event occurred will be recorded correctly without revealing confidential details about the parties involved.

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.

Emergence of Data Lake-as-a-Service

Data lakes may be of recent origin but it has already become a familiar term in big data processing and analytics in the cloud. They are a significant big data storage tool accumulated by organizations especially from social media and remote workforces. Nonetheless, data lakes of today face many obstacles and challenges that need to be immediately addressed. This is precisely why there is a big scope for emergence of Data Lake-as-a-Service Solutions. These solutions offer the complete package to manage your data lake efficiently.

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.

Newfound interest in algorithms

Algorithms have been a part of IT since its inception. They define actions and give a step-by-step understanding of each activity. Big data is all about amassing more and more data. It can rarely be successfully employed to pinpoint specific problems and their solutions. Besides, big data is commonplace enough to have lost most of its luster. Algorithms, on the other hand, are very specific about everything, perhaps better than humans at this.

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

Big Data to get a Political and Personal Angle

Big data is currently an umbrella term for all the massive amounts of structured and unstructured data collected. In the near future, the use of this term as a business function will be less frequent as it will get broken down into the sum of its parts and each part will have a place in the business framework.

Big data is now being experimented by governments and soon enough it may gain a place in the political realm. Interestingly enough, the layman too is getting more hints on the working of big data and it can be speculated that data will steadily enter the public sphere and reach in the hands of the masses. Would you like to know more about this? If yes, then send an email to

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