Released last year in July, Apache Spark 2.0 was more than just an increase in its numerical notation from 1.x to 2.0: It was a monumental shift in ease of use, higher performance, and smarter ...

Apache Spark is a project designed to accelerate Hadoop and other big data applications through the use of an in-memory, clustered data engine. The Apache Foundation describes the Spark project this ...

Hadoop and Spark clusters have a reputation for being extremely difficult to configure, install, and tune, but help is on the way. The good folks at Cluster Monkey are hosting a crash course entitled ...

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 ...

For data engineers, building fast, reliable pipelines is only the beginning. Today, you also need to deliver clean, high quality data ready for downstream users to do BI and ML. Apache Spark™ and ...

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 ...

It's time to celebrate the incredible women leading the way in AI! Nominate your inspiring leaders for VentureBeat’s Women in AI Awards today before June 18. Learn More Following the initial rise of ...

This week at Spark Summit, data management companies are rolling out new Spark integrations and support at Spark Summit to enable their users to take advantage of the open source data processing ...

For data engineers, building fast, reliable pipelines is only the beginning. Today, you also need to deliver clean, high quality data ready for downstream users to do BI and ML. Apache Spark™ and ...