In 2019, enterprise demands rose for real-time and near real-time analytics, and data continued to expand its role in everyday business operations and decision-making. Enterprises will continue to build on these trends in 2020, and that will drive analytics vendors to add new capabilities and expand their offerings. Here are eight key trends for analytics in 2020. In-memory costs are decreasing, and this will drive more analytics to real-time environments. The demand for real-time or near real-time analytics will require fast CPUs and in-memory processing.

As 2018 rolls to a close, it's time to turn our attention to 2019 and the possibility that it holds. What will happen next year is anybody's guess, which is half the fun in assembling (and hopefully reading) predictions from leaders and experts in the big data and data science fields. Machine learning had a good year in 2018. But enterprises will embrace machine learning in new and profound ways in 2019, envisions Hilary Mason, GM of machine learning at Cloudera. "Next year we'll see a new step in maturity in the enterprise ML transformation as companies advance from proof-of-concepts to production capabilities," Mason says.

Someday, artificial intelligence (AI) will advance to the point where it can analyze all the data about big data and come up with its own predictions about the market. However, until that day comes (and it may be sooner than you expect), human research analysts probably offer the best forecasts about the future of the market. The market is clearly growing rapidly, and enterprises are investing in some different types of technologies than they have in the past. Integrating some of those new technologies into business processes is presenting challenges for organizations, and many are likely to experience some failures. In addition, people and organizational challenges continue to hamper organizational efforts to become more data-driven.

Big data is getting bigger and bigger and more businesses are adopting it. Why not when it makes business faster and more efficient. Through big data, they can easily access information to help them create well-informed decisions. It surely has done a lot of benefits to companies but how about next year? How will big data affect businesses and industries in the coming years? As data volume grows, analytical methods will improve.

Big data is getting bigger and bigger and more businesses are adopting it. Why not when it makes business faster and more efficient. Through big data, they can easily access information to help them create well-informed decisions. It surely has done a lot of benefits to companies but how about next year? How will big data affect businesses and industries in the coming years? As data volume grows, analytical methods will improve.

As data volume grows, analytical methods will improve. SQL will still be the standard; however, there are emerging ways how big data is analyzed. One of them is Spark which is a good complementary tool for analysis. These tools will also be easier to use where users will be able to use them without any coding knowledge. Microsoft and Salesforce have already introduced these tools recently allowing non-coders to create apps to view data. Tech experts predict that in 2017, business and organizations will want to use data to make real-time decisions using advanced analytic tools.