
What’s new with SQL Server 2019 Linux features
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
How to deploy SQL Server 2019 Big Data Clusters
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

Build an intelligent analytics platform with SQL Server 2019 Big Data Clusters
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

State of the SQL Server tools
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
Visual Studio Code: Develop PySpark jobs for SQL Server 2019 Big Data Clusters
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
Getting started with Azure SQL Database Hyperscale
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
Getting started with Azure SQL Database Hyperscale
Azure SQL Database Hyperscale (or Hyperscale for short) 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 queries ... continue reading

A SQL Server tale of two cities
No one disputes that data is critical to the lifeblood of business, applications, and the computer industry. SQL Server sits at the forefront of any discussion about data these days. So its no coincidence that SQL Server is seen, heard, ... continue reading

Operationalizing your PostgreSQL database health checks using SQL Notebooks
In Craig Kerstiens‘s blog post, “A health check playbook for your Postgres database” he emphasizes the need for periodic checks for your Postgres databases to ensure it’s healthy and performing well. Most Postgres database administrators and community members would usually ... continue reading

3 ways to gain insights with SQL Server 2019 big data clusters
Businesses today are faced with the challenge of staying profitable and investing in future innovations. Speed and flexibility are the name of the game, and effective data-scaling techniques are highly sought after. Yet exploding data volumes, diverse data types, and ... continue reading