Datanami – Streaming Analytics Picks Up Where Hadoop Lakes Leave Off

Mar 27, 2017

Big data boom is no longer about just storing data in data lakes, but also analyzing the data to extract information.

Organizations are increasingly using streaming analytics to analyze data, shrink the decision window, and reduce the flow of data into the lake. To do this, many organizations are taking resort to stream processing systems to accomplish the bulk of the company’s analytic goals, which is where StreamAnalytix can help.

To read more about how StreamAnalytix lets users develop and integrate Spark-based batch workflows right alongside their streaming data workflows, visit