Graph data is prevalent in many domains, but it has usually required specialized engines to analyze. This design is onerous for users and precludes optimization across complete workflows. We present ...

This repo holds a implementation of a distributed graph processing algorithm finding a solution to graph coloring problem. The minimum number of colors required to properly color a graph is called ...

I have a simple PySpark structured streaming app that transforms incoming messages into a graph (using GraphFrames). A simplified example of the code is given below ...

猿田浩輔氏（以下、猿田）：Barrier Execution Modeのお話はここまでで、次はAccelerator Aware Schedulingですね。最近Project Hydrogenの中ではこの機能の議論が活発で、Spark3.0への導入に向けて議論が進められているという段階になっています。 これは何かと言うとGPUとか ...

Here's a roundup of this week's Big Data news featuring: an updated platform and new cadence cycle from Hortonworks; GraphFrames, a graph processing library for Apache Spark, from Databricks; the open ...