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 ...

The Spark streaming analytics engine is one of the most popular open source tools for weaving big data into modern applications architectures with over 800 contributors from 200 organizations. It ...

Databricks Inc. today took some serious steps toward boosting the value proposition of the popular open-source Apache Spark big data processing engine, which is facing potent new competition. The San ...

Better streaming analytics, a hot topic in Big Data development right now, is the highlight of more than 1,200 improvements and bug fixes in the new Apache Spark 2.1. Databricks Inc., the commercial ...

“Many organizations are interested in using a single software environment for streaming and batch processing, while taking advantage of the power of the Apache Spark compute platform for analytics and ...

Despite challenges including a new location and a nasty Nor'easter that put a crimp on travel, Spark Summit East managed to draw more than 1,500 attendees to its February 7-9 run at the John B. Hynes ...

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 ...

Thanks to an impressive grab bag of improvements in version 2.0, Spark's quasi-streaming solution has become more powerful and easier to manage Flink and Dataflow bring new innovations and target some ...

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 ...