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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 ...

“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 ...

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 ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Big data refers to datasets that are too large, complex, or fast-changing to be handled by traditional data processing tools. It is characterized by the four V's: Big data analytics plays a crucial ...

(MENAFNEditorial) NEW YORK, Oct. 24, 2017 /PRNewswire/ --GraphConnect New York – , the market leader in connected data, today announced that it has donated an early version of Cypher for Apache™ ...

You may have heard of this Apache Hadoop thing, used for Big Data processing along with associated projects like Apache Spark, the new shiny toy in the open source movement. They're among the most ...

In a simple batch processing test, Google Cloud Dataflow beat Apache Spark by a factor of two or more, depending on cluster size On Tuesday, my company, Mammoth Data, released benchmarks on Google ...