Apache Spark brings high-speed, in-memory analytics to Hadoop clusters, crunching large-scale data sets in minutes instead of hours Apache Spark got its start in 2009 at UC Berkeley’s AMPLab as a way ...

Traditional relational databases have been highly effective at handling large sets of structured data. That’s because structured data conforms nicely to a fixed schema model of neat columns and rows ...

Apache Spark is one of the quickest tools, which is apt for large data-scale processing. At times, it even considered as one the topmost data processing solution, which is even quicker than platforms ...

To give you a better idea about how data streaming technology is transforming manufacturing and heavy industry today, I'll provide a few examples below. Using data streaming technology, you can stream ...

RisingWave Labs, a company developing a platform for data stream processing, today announced that it raised $36 million in a Series A funding round led by Yunqi Partners, undisclosed corporate ...