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.
