All You Need To Know About Top trends in Big Data in 2017.

Last year was a landmark year for Big Data with more processing, organization, storing and extracting value from data of all forms and sizes. In 2017, systems that support huge volumes of unstructured and structured information will continue to rise. The platforms that assist data overseers govern and secure big data while empowering end users to examine the data will have demand in market.

According to market research, governments around the world have started heavily investing is smart cities. We are expected to see massive growth in both volume and variety in Big Data in 2017.

1.       Convergence of Internet of things, Big Data and Cloud  

With the arrival of various internet connected Internet of Thing devices, there has been an enormous influx of both unstructured and structured data. Much part of this data is being set up on the cloud services. This data will live in several relational/ non-relational systems which include NoSQL databases to Hadoop clusters.

2.       Hadoop will become widespread

2017 will experience a rise in adoption of Hadoop, other connected solutions by organizations. With the adoption of Hadoop, enterprises regardless of their size can process enormous volume and variety of data using enhanced analytics.

Adoption of more improved databases like the Exasol, MemSQLetc had become important for the success of the enterprise.

3.       Data Virtualization

Data virtualization will see a strong momentum in this year, as stated by market research. Data virtualization, has the capability to unlock the hidden results and concepts from a large set of information. It also allows organizations and enterprises to take back and transform the data on the go.

4.       Mixed reality will advance data visualizations

Augmented reality and virtual reality have a gained a lot of traction among the customers in the recent few years. With the launch of Pokémon Go. The Augmented reality had gathered approximately 100 million users within just weeks of its launch. Though Augmented reality and Virtual reality may not be much neededin larger businesses, the concept of Mixed reality may be much useful.

Mixed Reality [MR] co-joins the virtual world with the real world and devices alike. Microsoft Hololensare already gaining popularity. According to Technology market research Mixed reality will proffer numerous opportunities for businesses to improve their ability to perform certain tasks and also to understanding the information better.

5.       Deep Learning

Deep learning is an improved method of machine learning which is established on neural networking. Deep learning assists in recognizing the particular terms of interest from enormous amount of unstructured data. The enterprises and businesses, in 2017 should put more emphasis of Deep learning algorithms to handle the heavy inflow of data.

In conclusion, as mentioned above, 2017 will be an exciting year for Big data and analytic systems, which will become the top priority for businesses. These systems are anticipated to perform well operationally and accomplish every promise of business value to the enterprises.