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 ...

The ability to ingest and process large volumes of data in real time is something interesting to more and more organizations. This is an area seeing rapid growth, as the use cases can translate to ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Traditional databases focus on data after it has been stored. 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 ...