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 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 ...

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 ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

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 ...