Big data? Got it. Machine learning and AI? Handled. DevOps? Bring it on! In the past, you may have known SQL Server as a powerful relational database engine. Nowadays, it’s even more. With SQL Server 2016 and SQL Server 2017, it’s expanding in many directions and dimensions—from increasing the number of platforms it runs on and adding data types, to compatibility with any language, embracing NoSQL, scaling to big data with PolyBase, and beyond.
If you’re ready to get up and running with SQL Server on Linux, find the help you need in our new course, Installing, Configuring, and Managing Microsoft SQL Server on Linux. Hear the details from a team of subject matter experts, headed up by Travis Wright, as they give you the basic building blocks you need to get started right away. You’ll see practical demos, including a look at how quickly you can set up SQL Server on a Docker container on a Mac. (Yes, you read that right!)
Watch module 7 to see a demo of how to set up a SQL dev environment in 6 minutes.
Intrigued? Check out the course! Explore installation, containers, and DevOps, along with the critical high availability, disaster recovery, backup/restore capabilities in SQL Server on Linux. Then discover the architecture and performance features, Linux-based tools, and security and troubleshooting. Plus, learn about the different options to run your SQL Server on Linux workloads in the cloud.
Whether you’re a developer or a database administrator, and whether you currently use SQL Server or Linux, these three hours will be well-spent, with a review of the technology’s evolution and an exploration of future features—and lots of good stuff in between.