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.

Writing Spark applications Spark, written in Scala, provides a unified abstraction layer for data processing, making it a great environment for developing data applications.

One of the most popular big data processing platforms, Spark, now supports one of the premier statistical programming languages, R.

To help address these problems, Spark provides data engineers and data scientists with a powerful, unified engine that is both fast (100x faster than Hadoop for large-scale data processing) and ...

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 ...

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

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

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 ...