Spark has evolved considerably since the early days. Few new applications today use the Resilient Distributed Dataset (RDD), which have largely been replaced by DataFrames. In concert with the shift ...

Debraj GuhaThakurta discusses ML and data analysis processes in Spark using examples written in Python and R.

In this article, author Roshan Kumar walks us through how to process streaming data in real time using Redis and Apache Spark Streaming technologies.

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 ...

Reactive programming company Typesafe today released a survey that confirms the high adoption rate of Apache Spark, an open source Big Data processing framework that improves traditional Hadoop-based ...

AWS Glue, a serverless data integration service provided by Amazon Web Services, showcases Python and Apache Spark capabilities in a version 4.0 release introduced this week. The upgrade adds ...