Microsoft SQL Server 2019

← Back to document page

Microsoft SQL Server 2019. Case Study: SQL Workloads running on Apache Spark in MS SQL Server 2019 Big Data Cluster Technical White Paper Published: November 2019. Applies to: Microsoft SQL Server 2019 Big Data Cluster Abstract In October 2019, Microsoft and Intel conducted performance and scalability testing using workloads based on TPC-DS Schema with data sets 1TB, 3TB, 10TB, 30TB, and 100TB running on the first Microsoft SQL Server 2019 Big Data Cluster solution, utilizing Apache Spark. We showcase the ability of Microsoft SQL Server 2019 Big Data Cluster running on Intel-powered platforms to handle Big Data Sets at various data sizes.

2- How the control, data pool, storage pool and compute pool components are laid out on the actual cluster master(s) and worker nodes (see Figure 3), 3- Specifically, how pools get composed of these functional pods (see Figure 4). We provide insights for deploying SQL Server Big Data Cluster in our environments based on these

  Done, Compute