Apache Spark has become the de facto standard for processing data at scale, whether for querying large datasets, training machine learning models to predict future trends, or processing streaming data ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...

“Spark GraphX in Action” book from Manning Publications, authored by Michael Malak and Robin East, provides a tutorial based coverage of Spark GraphX, the graph data processing library from Apache ...

Apache Spark is going from 1.0 to 2.0, and who better to talk about it than Matei Zaharia, creator of Spark? He did so at Spark Summit East 2016 during a keynote session, along with presentations from ...

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 ...

Finding insight in oceans of data is one of enterprises’ most pressing challenges, and increasingly AI is being brought in to help. Now, a new tool for Apache Spark aims to put machine learning within ...

Pentaho users will now be able to use Apache Spark within Pentaho thanks to a new native integration solution that will enable the orchestration of all Spark jobs. Pentaho Data Integration (PDI), an ...