For those already using sparklyr simply run: ...

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. The code will run for ~50 batches ...

To compare GraphX to GraphFrames is largely a comparison of RDDs to DataFrames: with DataFrames (and thus with GraphFrames) there is a huge performance advantage potential with the Catalyst query ...

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 ...

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 ...

Abstract: With the emergence of social networks, online platforms dedicated to different use cases, and sensor networks, the emergence of large-scale graph community detection has become a steady ...