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 ...

library(graphframes) library(sparklyr) library(dplyr) # connect to spark using sparklyr sc <- spark_connect(master = "local", version = "2.3.0") But I get the ...

In this assignment we will learn how to use DataBrick's GraphFrames library for graph-parallel computation in the Spark ecosystem. GraphFrames is a package for Apache Spark which provides ...

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 ...