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 ...

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 ...

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 ...

This workspace benchmarks PageRank memory usage on the LiveJournal graph stored as CSR arrays in livejournal-csr.duckdb. GraphFrames also needs Java and Spark. The ...