Big Data: Main developments in 2017 and Key Trends in 2018

The focus is upon the pulse of main events and developments in industry, academia, and technology and new trends.

It is essential to know more about what happened in Big Data in 2017, and what may be on the horizon for 2018.

What were the main Big Data related developments in 2017, and what key trends does one see in 2018?

A quick glance at 2016 trends and predictions as major themes:

  • Security and privacy
  • The increasing role of cloud in data management
  • A tempering of expectations and hype
  • The Internet of Things’ role in the generation of data

It is fact that Big Data is indeed no longer what it used to be. One has to assume that everyday data is huge. Big Data has to be as properly managed.

In 2017, Big Data has definitely been no longer a popular term, and we have been less likely to use the term big data and instead simply call it just data. The companies are indeed shifting from the big data departmental approach to a business-driven data approach, thus focusing on agility in the use of big data analytics capabilities that are making use of long-term business value.

One can look forward to 2018, which will prove to be a year of growth of convergence between big data with others technologies. With machine learning it is being increasingly applied, artificial intelligence that are indeed becoming smarter, the fastest growth in IoT usage and the increase adoption of a cloud-first strategy for big data analytics will no doubt allow more and more smart technological capabilities that can be incorporated in the most varied types of enterprise solutions, products and services, enabling people as well as companies to take advantage of them.

In 2017, there were fewer areas that did receive more limelight than one actually anticipated. The IoT era did start off early. Artificial Intelligence as well as Machine Learning both received quite a bit of traction and Data Science that have started to gain more momentum. Based on new data platform based releases in 2017, there has been a new trend that has indeed been made towards hybrid data management and hybrid cloud. The year 2017 has turned out to be a year of strategy as well as reassessment. Big Data is no doubt part of the strategy but with less emphasis on Hadoop and with more emphasis on data management, data visualization as well as the hybrid cloud.

Few areas have indeed got focused in 2018. Big Data projects will resume no doubt with more realistic USE CASES and with fewer failures. Data Streaming will indeed take off as the data platforms continue to mature. There will indeed more emphasis on NoSQL in 2018 and it will finally be established as a realistic solution for both Structured as well as unstructured data which include TRANSACTION Data. Software development will indeed gain the spotlight as these data trends that start advancing the need for new functionality with regards to data pipelines. 2018 will be of course the beginning of Hadoop and NoSQL (Data Platform) adoption.

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