Batch data processing is too slow for real-time AI: How open-source Apache Airflow 3.0 solves the challenge with event-driven data orchestration ...

Fast, flexible, and developer-friendly, Apache Spark is the leading platform for large-scale SQL, batch processing, stream processing, and machine learning.

It's one of a growing number of approaches for flattening the Lambda architecture, so you can combine real time and batch processing (and interactive as well) on the same code base and cluster.

A little-known startup called Hazelcast Inc. is hoping to steal some of the limelight from popular open-source projects Apache Spark and Apache Flink, launching what it claims is a faster and ...

This is a comprehensive Apache Hadoop and Spark comparison, covering their differences, features, benefits, and use cases.

Spark 1.6 Preview The Spark 1.6 Developer Preview incorporates the latest functionality in Apache Spark for developers and data scientists to test on the MapR Converged Data Platform.