Since the release of SQL Server 2017 on Red Hat Enterprise Linux, the industry-leading SQL Server database has been available on Red Hat Linux technologies. Microsoft and Red Hat continue to jointly engineer SQL-related offerings on Red Hat and provide enterprise experience to customers with co-located support for production workloads. Our engineering teams work side-by-side Read more
Wouldn’t it be great if you could see how a workload will perform in a new environment before migrating a database to the cloud? Then you could fix any queries that have compatibility errors or move forward with the migration with confidence. That type of crystal ball is essentially what Microsoft gives us in the Read more
Sometimes resource demands increase beyond your expectations. Azure SQL Database service continues to meet your needs regardless of your speed of growth. The hyperscale service tier for a single database enables you to scale to 100 TB with fast backup and restore capabilities. Learn about other options for running Microsoft SQL Server in Azure in Read more
As organizations face increasing pressure to modernize their applications and infrastructure, the benefits of the cloud have become impossible to ignore. Fortunately, Azure SQL Database managed instance makes it easy to move your SQL Server workloads to the cloud. Nearly 100 percent compatible with the latest SQL Server on-premises database engine, this fully managed service Read more
You’re an existing SQL Server customer and are looking to explore the fast-growing Linux operating system. Whether on-premises or in the cloud, Microsoft has you covered. With SQL Server 2017, and now SQL Server 2019, SQL Server is available on Red Hat Enterprise Linux, SUSE Linux Enterprise Server, and Ubuntu. For our purposes, I’m going Read more
When it comes time to migrate your SQL workloads to Azure, you have a choice of two main deployment options: SQL Server on Azure Virtual Machines and Microsoft Azure SQL Database. Each offers its own benefits, so how do you know which is right for your workload? If you’re ready to learn more about moving Read more
Rearchitecting applications to run in the cloud can be a significant undertaking requiring time, money, and the appropriate skills. If you want to move existing on-premises apps to the cloud, but don’t have the necessary resources to rearchitect your applications, consider SQL Server on Azure Virtual Machines to get there quickly and easily. If you’re still Read more
It’s that time of the year when the Microsoft Azure Data engineering team is getting ready to participate at SQL Bits 2020. Excitement for this year’s show is everywhere, as SQL Bits provides us with a unique opportunity to learn, connect, and share with you, our SQL Server community. SQL Bits is the largest gathering Read more
Microsoft SQL Server 2019 Big Data Cluster enables intelligence over all your data and helps remove data silos by combining both structured and unstructured data across the entire data estate. Read more
Many organizations seek to do more with their data than pump out dashboards and reports. Applying advanced analytical approaches such as machine learning is an essential arena of knowledge for any data professional. While database administrators (DBAs) don’t necessarily have to become data scientists, they should have a deep understanding of the machine learning technologies Read more
The days when a database administrator (DBA) could specialize solely in a single database technology are rapidly ending. Today, we’re much more likely than ever before to be asked to bring together many types of data from diverse sources. Although specialization still has its place, having the knowledge and tools at our disposal to cross Read more
With the release of SQL Server 2019 on Linux, Microsoft introduced persistent memory (PMEM) support on Linux. This is an exciting development, as previous versions of SQL Server on Linux didn’t support PMEM. Let’s look at how to configure the PMEM for SQL Server on Linux. SQL Server 2016 introduced support for non-volatile DIMMs and Read more
