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 ...

For those already using sparklyr simply run: ...

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 ...

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 ...