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“Spark GraphX in Action” book from Manning Publications, authored by Michael Malak and Robin East, provides a tutorial based coverage of Spark GraphX, the graph data processing library from Apache ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

Neo4j, a leader in connected data, announced that it has released the preview version of Cypher for Apache Spark (CAPS) language toolkit. This combination allows big data analysts to incorporate ...

Traditional relational databases have been highly effective at handling large sets of structured data. That’s because structured data conforms nicely to a fixed schema model of neat columns and rows ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Apache Spark has been called a game changer and perhaps ...

Apache Spark is an execution engine that broadens the type of computing workloads Hadoop can handle, while also tuning the performance of the big data framework. Hadoop specialist Cloudera recently ...

Redis Labs is offering integration with Spark SQL, and releasing a Spark-Redis connector package that promises to accelerate processing time. Redis Labs is a commercial provider of Redis, the open ...

Graph processing at hyperscale has historically been a challenge because of the sheer complexity of algorithms and graph workflows. Alibaba has been tackling this issue via a project called GraphScope ...

Real-time business intelligence is going mainstream, thanks in part to the Storm and Spark open source projects. Here's how to choose between them The idea of real-time business intelligence has been ...