Big Data Trends

The latest trends from the world of Big Data are summarized below for your faster consumption.

1) More Analytics and Less Guesses
   The assimilation of knowledge assets like never before which spans both internal and data assets has been a breakthrough which most of the businesses were waiting for. And that's exactly what Big Data has achieved. And on top of the same the latest Big Data Analytics capabilities which are being explored by leading Analytic platforms paves the way for smarter and faster decision making using the plethora of information made available.

Needless to stay Big Data and its Analytics is a trend which will define the future of how business decisions are to be made.

2) Privacy and Security on Big Data
As the data assets grow in volume its critical to place the right measures and checkpoints to ensure utmost privacy and security over these assets. And that is one area which is being positioned on the high priority list by most organizations. This trend again has synergy with the security over cloud paradigm that is another angle which is redefining what privacy and security really means in today's data management landscape.

3) Real Investments on Big Data
  If the prior years saw more of POCs wherein businesses were exploring the potential of big data. Compared to the investments getting planned currently that was just the tip of the iceberg. Having realized the immense capabilities of Big Data and its Analytics businesses have decided to invest heavily towards related technology platforms to ensure that they in the forefront of this smarter-faster decision making ride.

4) A coalition of Big Data  - Cloud - Social - Mobile - NoSQL  and Analytics
There is convergence slowly evolving where in the following workflow of critical knowledge assets is getting evident

  • Social & Mobile platform will continue to be the key data generators
  • Big Data Platforms leveraging cloud solutions would be the data management solutions
  • NoSQL and Analytics coupled with the power of in-memory analytics will drive  data consumption


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