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.

For instance, the Spark framework, which has gained adoption as a platform for general data processing, offers a graph-oriented programming model and execution engine as well — GraphX.

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

Impetus Technologies, has announced StreamAnalytix 3.0, which adds support for Apache Spark-based batch processing and enriched online and offline machine learning features. The new capabilities are ...

Databricks Inc., the primary commercial steward behind the popular open source Apache Spark data processing framework for Big Data analytics, published a new report indicating the technology is still ...

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 ...

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

This means Jet can process incoming data records as soon as possible, whereas Spark and Flink both accumulate records into micro-batches before processing them.

The company, which offers a commercial version of Spark , now offers a tool to automate the setting up and executing of analysis written to run on the open source data processing platform.

Databricks Inc., the primary commercial steward behind the popular open source Apache Spark data processing framework for Big Data analytics, published a new report indicating the technology is still ...