In this article, author discusses Apache Spark GraphX used for graph data processing and analytics, with sample code for graph algorithms like PageRank, Connected Components and Triangle Counting.

Spark, written in Scala, provides a unified abstraction layer for data processing, making it a great environment for developing data applications. Spark comes with a choice of Scala, Java, and Python ...

One of the most popular big data processing platforms, Spark, now supports one of the premier statistical programming languages, R, which could pave the way for easier big data statistical analysis.

At GTC 2023, Nvidia's director of engineering Sameer Raheja shared how Rapids can accelerate Apache Spark data jobs at much lower cost.

Databricks is a San Francisco-based startup founded by the team that developed the popular open-source Apache Spark data-processing framework at the University of California-Berkeley.

Couchbase and Spark are uniquely capable of providing the scale and performance that Big Data requires,” said Will Gardella, director of Big Data product management at Couchbase. “The Spark data ...

Latest Version of Data Management Platform for AI Enables Massive Scale Apache Spark Data Processing on Highly Regulated Data; Unveils Automated Governance Reporting for Compliant Data Science ...

To maintain a degree of fault-tolerance, Spark takes snapshots of its internal state, including metadata about data progressing along checkpoints in the pipeline.