Last year, Google’s AlphaGo computer beats world champion Lee Se-dol in the game of Go, Data has become the new currency and governments around the globe have started investing heavily in smart cities. The hype surrounding the Big Data is finally over and in this year of 2017, we can expect massive growth of data both in terms of volume and variety.

Hadoop will become widespread

In this year, we will witness a surge in adoption of Hadoop, and other related solutions by organizations. With the adoption of Hadoop, organizations of any size can process massive volume and variety of data using advanced analytics. Adoption of more advanced databases like MemSQL, Exasol etc., had become imperative for the success of the organization.

Convergence of IoT, cloud, and big data

With the advent of several internet connected IoT devices, there is a massive influx of both structured and unstructured data. Much of this data is being deployed on cloud services. This data will reside in several relational and nonrelational systems which include Hadoop clusters to NoSQL databases.

Mixed Reality will improve data visualizations

AR and VR have gained a lot of traction among customers in the past few years. With the launch of Pokémon Go, Augmented Reality had garnered around 100 million users within just a few weeks of launch. Though AR or VR might not be very useful for large corporations, the concept of Mixed Reality might very well be. Mixed reality combines the virtual world with our real world and devices like Microsoft Hololens are already gaining traction. Mixed Reality will offer huge opportunities for organizations to better perform tasks and also to better understand the data.

Deep Learning

Deep learning is an advanced form of machine learning which is based on neural networking. Deep learning help recognize specific items of interest from massive volumes of unstructured data. It is mostly useful for learning from huge volumes of structured and unstructured data. Thus businesses and organizations should pay more attention to Deep learning algorithms to deal with the heavy influx of the data.

Data Virtualization

Data virtualization will see a strong momentum in this year. Data virtualization has the ability to unlock the hidden concepts and conclusions from a large set of data. It also allows enterprises and organizations to retrieve and manipulate data on the go.


As mentioned earlier, this year will be an exciting year for big data and analytics systems will become the top priority for organizations. These systems are expected to perform well operationally, and fulfill promises of business value to the organization.