Experience SQL Server 2017: Start your journey here
Please check out these new resources for SQL Server 2017 and SQL Server on Linux and Docker:
With the 2017 PASS Summit approaching next week, I thought it would be helpful to provide for you my list of resources when it comes to SQL Server 2017, which we announced for General Availability on October 2nd.
To find out what's different and new about SQL Server 2017, go to this documentation page:
Release notes are always helpful for those "little gotchas" and you can find find them at
As you may have heard, we have released SQL Server on Linux as part of 2017. Go to our one stop shop for Linux including quick links on how to install on Redhat, Ubuntu, and SUSE.
Maybe Docker Containers are your thing. Go right here for what you need to know to get started
You can find all blog posts (including this one) related to SQL Server 2017 on the bobsql blog
Enjoy this recent thread from an AMA on SQL Server 2017 with Travis Wright and Tobias Ternstrom. All sorts of cool stuff here.
Here are the top blog posts to date on the main SQL Server blog related to SQL Server 2017
Microsoft for the Modern Data Estate SQL Server 2017 and Red Hat Enterprise Linux offer In-database Machine Learning in SQL Server 2017 SQL Server 2017: Fast, faster, and the fastest database everywhere you need it Enhancing query performance with Adaptive Query Processing in SQL Server 2017 SQL Server 2017 on Windows Linux and Docker is now generally available Analysis Services Innovations in SQL Server 2017 Webinar: Get enterprise-grade features at open-source prices with SQL Server 2017 on Linux
Finally, here are various videos from the Microsoft Ignite conference related to SQL Server 2017
Microsoft Data Platform – SQL Server 2017 and Azure Data Services Microsoft SQL Server 2017 Deep Dive Maximum availability and extreme read scale-out with Microsoft SQL Server 2017 Experience Microsoft SQL Server 2017: The fast and the furious Performance patterns for machine learning services in SQL Server Graph extensions in Microsoft SQL Server 2017 and Azure SQL Database SQL Server 2017 containers on Kubernetes, OpenShift, and Docker Swarm How to build machine learning applications using R and Python in SQL Server 2017 DevOps: CI/CD with Microsoft SQL Server 2017 Deep dive into SQL Server Integration Services (SSIS) 2017 and beyond Delivering high performance analytics with columnstore index on traditional DW and HTAP workloads
I like to have a central place to find things on a topic this big as SQL Server 2017 so I'll try to keep this specific post up to date with other important resources as I encounter them.
Enjoy SQL Server 2017!
Principal Architect, Database Systems, Microsoft