Data and source-agnostic platforms will beat out siloed systems; Spark and machine learning continue to thrive.
Big data has proven to be a dynamic, rapidly-moving area of innovation over the last few years, and that seems to be accelerating rather than slowing down. A new report from TDWI and Tableau reiterates this conclusion while tackling opportunities and challenges behind some of the big-picture trends.
As an overall movement, the report claims that companies will put a priority on systems that “support large volumes of both structured and unstructured data.” On top of that, there will be a rapid rise in demand for platforms that help data custodians govern and control their big data implementations while also allowing that data to be accessible from scientists, analysts, and general business users. That’s the focus in fact of the May 2017 Data Platforms Conference, which includes sessions on modern big data platforms and big
To read more see the full post at: Big Data Trends for 2017: Hadoop Meets Machine Learning - RTInsights (press release) (blog)