Wednesday, May 1, 2019

Big Data Trends to Look Out for in 2019

Data is what moves forward digital innovation in innumerable and diverse areas, and it is small wonder that advancements and developments in big data are among the most influential in business and beyond. Organizations that are the first to find solutions to the most important data challenges gain significant advantages over their competition. In this article, we will take a look at some of the most prominent trends in big data that are worth watching this year.

1. Data Management Remains Challenging

The principle behind big data analytics has always been and remains rather straightforward: you collect a lot of data, find meaningful patterns in it, train machine learning algorithms to notice them, and create models that automatically detect such patterns. However, the practical implementation of this approach remains problematic. You have to use data coming from a number of silos, clean it up, and label it for the purposes of machine learning and implement such a system so that it works securely and stably. There are still no easy solutions to all these problems, which means that experienced data engineers are still going to be among the most high-demand IT specialists.



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