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.

Apache Spark's powerful open-source platform enables high-speed data processing for large and complex datasets. The joint benchmarking used the k-core decomposition algorithm of Spark's GraphX ...

Apache Spark speeds up big data processing by a factor of 10 to 100 and simplifies app development to such a degree that developers call it a "game changer." ...

Databricks, the company founded by the creators of popular open-source Big Data processing engine Apache Spark, announced today that it has broken the world record for the GraySort, a third-party ...

The advantage of Spark over Hadoop for businesses is that it enables the development of complex multi-step data processing pipelines using acyclic oriented graphs ( AGDs ).

BERKELEY, Calif., Oct. 10 — Databricks, the company founded by the creators of popular open-source Big Data processing engine Apache Spark, announced today that it has broken the world record for the ...