Please see also: Part 1: Introduction, Part 2: Spark SQL, Part 3: Spark Streaming, Part 4: Spark Machine Learning, Part 5: Spark ML Data Pipelines. Big data comes in different shapes and sizes.

Graph analysis will push big data evolution to the next plateau of scale and sophistication. Hadoop is one segment of the evolutionary picture, but it’s not necessarily the centerpiece.

The Graph 500 was created to chart how well the world’s largest computers handle such data intensive workloads. The latest edition of the list was released at the SC12 supercomputing conference ...

June 29, 2020 – Nebula Graph is now commercially available as the only database that can store and process billions of data points with trillions of relational connections in a shared-nothing ...

Microsoft introduced a preview of the latest edition of its flagship RDBMS, SQL Server 2019, highlighting new Big Data capabilities. The company said v2019 creates a unified data platform by packaging ...

Graph theory isn’t enough. The mathematical language for talking about connections, which usually depends on networks — vertices (dots) and edges (lines connecting them) — has been an invaluable way ...

Getting the benefits of big data analytics can be challenging, but it is a necessary endeavor for any organization to succeed going forward. Understanding the challenges to maximizing big data ...