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. Vivek Yadav, an engineering manager from ...

A Spark application contains several components, all of which exist whether you’re running Spark on a single machine or across a cluster of hundreds or thousands of nodes. Each component has a ...

Apache Spark is most often thought of as a faster replacement for MapReduce, the batch-oriented programming framework that enabled first-gen Hadoop to catch traction 10 years ago. Indeed, Spark was ...

Apache Ignite is an open source in-memory data fabric which provides a wide variety of computing solutions including an in-memory data grid, compute grid, streaming, as well as acceleration solutions ...

After an absence of about a year, and a stint as Research Director at the now defunct Gigaom Research, I've returned to ZDNet to cover Big Data. The year went by pretty quickly, but a number of things ...

Databricks Inc., the primary commercial steward behind the popular open source Apache Spark data processing framework for Big Data analytics, published a new report indicating the technology is still ...

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 ...

It’s been about three years since Apache Spark burst onto the big data scene and became one of the hottest technologies on the planet. Judging by the numbers surrounding Spark’s adoption—including ...

Databricks, a startup company that provides support for the open-source Apache Spark project, received $33 million in a new funding round. Databricks also announced that it is launching a new service ...