Without change, there is no innovation, creativity, or incentive for improvement. Those who initiate change will have a better opportunity to manage the change that is inevitable.-William Pollard. Rightly said no? Such an impactful change we are going to discuss here- Big Data and its Analytics Solutions.
With the changing tendencies and inclinations in the organizational ethics and processes, there has been an abrupt data growth in past few years, which eventually led to an immense need for an effective data management. That is where the concept of Big Data has emerged and evolved.
Quite obviously, Big Data has changed the way the organizational data was managed and analyzed. Initially adopted and practiced by several giant companies, the trend of using
Big Data Analytics Solutions is getting massive popularity among every organization, regardless of its size and domain. And yes, it’s proved to be fruitful too, be it in terms of newer and more innovative business moves, effective business operations, improved revenues, or healthier client relationships.
Well, all in all, the understanding can be simplified by defining the concept as a beautiful collaboration of 3 Vs- Volume, Variety, and Velocity, as introduced by Gartner in 2012. The logic behind goes clear,
with an approximation 2.5 quintillion bytes of data creation on a daily basis (expected to increase further in the future), a really wide variety of different forms of highly fluid data.
Although the concept sounds simple and easy, it does take into account- a whole new set of advanced technologies, collectively known as Big Data Analytics Solutions, that we all should be aware of, here’s the list:
- Apache Hadoop, as we say newer technologies, comes at the foremost. It is an open source software framework and is capable of storing huge amounts of data and other run applications. Further, IT IS FREE and utilizes the commodity hardware to store such huge data, which makes this incredible tool even more exhilarating.
- Another reliable solution of Big Data is Spark, which elegantly combines SQL, streaming, and complex analytics and runs programs 100 times faster than Hadoop. For its proven scalability and efficiency, Spark is trending as one of the most reliable and swift tools among Big Data Analytics Solutions.
- Apart from this, there are some other technologies that are segregated under adaptive Big Data Integration and provide better access to the latest versions and capabilities, some of them being, MongoDB, SAP HANA, Cassandra, NETEZZA, HPE VERTICA, Hortonworks, Greenplum, DATASTAX, Cloudera, and Amazon Red Shifts.
Here’s how Big Data is going to be a right move:
- A survey revealed that approximately 48% of companies invested in big Data in the year 2016.
- A reach of $57 billion is projected in the Big Data technology and its services by the year 2020.
- An enormous cost reduction has been analyzed with Apache Hadoop and other cloud-based analytics tools in past few years. This reduction is expected to decrease significantly in the near future.
- Big Data Analytics has simplified and fastened the business information analysis, making faster and better business decision.
So far, big Data has made a big jump in the business world and is still taking the main front, 2016 was a definitely a big year for Big Data as a substantial number of companies oriented towards being analytics-driven and even more are expected to follow the culture and become smarter in their businesses.
Christine
