With SQL Server 2017, Microsoft entered the world of multi-OS platform support for SQL Server. For many technical professionals, the ability to run SQL Server on the same open source operating system as the rest of the application stack is ... continue reading

SQL Server 2019 Big Data Clusters is a scale-out, data virtualization platform built on top of the Kubernetes container platform. This ensures a predictable, fast, and elastically scalable deployment, regardless of where it's deployed. In this blog post, we'll explain ... continue reading

Last September at Microsoft Ignite 2018, Rohan Kumar, Corporate Vice President of Azure Data, announced the general availability of Azure Data Studio. This month, a little over a year later, Azure Data Studio took PASS Summit 2019 by storm, from ... continue reading

In the most recent releases, SQL Server went beyond relational data and enabled support for graph data, R, and Python machine learning, while making SQL Server available on Linux and containers in addition to Windows. At the same time, organizations ... continue reading

This week we're announcing the general availability of SQL Server 2019, a significant milestone for Azure Data and for SQL Server customers. This presents a good moment to give an update on the state of tooling for SQL Server.Since SQL ... continue reading

The Azure SQL (@azuresqldb) and SQL Server (@sqlserver) Engineering teams represented by Ajay Jagannathan, Alain Dormehl, Alan Yu, Amit Banerjee, Anna Hoffman, Asad Khan, Borko Novakovic, Brian Carrig, Buck Woody, Dinakar Nethi, Jakub Szymaszek, Joachim Hammer, Kevin Farlee, Mihaela Blendea, ... continue reading

Sydney Smith joins Scott Hanselman to show the rich editing experience provided by the PowerShell extension in Azure Data Studio by creating a SQL Server in a Linux Docker container with external storage—all using PowerShell Core in Azure Data Studio.To ... continue reading

Today were announcing the support in Visual Studio Code for SQL Server 2019 Big Data Clusters PySpark development and query submission. It provides complementary capabilities to Azure Data Studio for data engineers to author and productionize PySpark jobs after data ... continue reading

Today were announcing the support in Visual Studio Code for SQL Server 2019 Big Data Clusters PySpark development and query submission. It provides complementary capabilities to Azure Data Studio for data engineers to author and productionize PySpark jobs after data ... continue reading

Azure SQL Database Hyperscale (or Hyperscale for short :smileyhappy:) takes your database to the next level by removing size and query limitations typically found in cloud databases. Your database can scale up to 100 TB in size and handle more ... continue reading