These posts are about the Microsoft Data Platform, including SQL Server and Azure products and services. Topics include T-SQL, SQL Server Integration Services (SSIS), SQL Server Data Tools (SSDT), SQL Server Management Studio (SSMS), Azure Data Studio (ADS), Azure Data Factory (ADF), Azure Databricks, Azure SQL Databases, Azure SQL Data Warehouse and Azure Data Lake Storage.
One of the sessions I was most looking forward to at Microsoft Ignite 2017 was New capabilities for data integration in the cloud with Mike Flasko. In that session, he talks about Azure Data Factory (ADF) v2 and its new first-class SSIS support.
After the session, I convinced Mike Flasko and Sanjay Krishnamurthi to have a chat with me :) We talked about what’s new in Azure Data Factory v2, including the updated pipeline application model with a new visual design canvas, new Software Development Kits (SDKs) for working with Azure Data Factory, the new Integration Runtime, and the ability to run SSIS packages inside Azure Data Factory v2.
Azure Data Factory v2 with Mike Flasko
Follow Mike Flasko on Twitter @mflasko, and keep an eye out for more news about ADF and SSIS! I may or may not have convinced him to do another interview with me in a couple of months :)
At Microsoft Ignite 2017, I had planned an interview with Sunil Agarwal, and was very excited about it. Then Sunil asked if he could bring Kevin Farlee. Of course! Then he asked if he could also bring their customer, Aaron Gerdeman from FIS. Even better! :)
In this interview, we chat about SQL Server 2017, Resumable Index Builds, Adaptive Query Processing, Columnstore Indexes, High Availability, Real-time Analytics, Real-time Dashboards and the SQL Tiger Team.
High Performance Analytics with Sunil Agarwal, Kevin Farlee, Aaron Gerdeman
I know Bob had a very busy schedule at Microsoft Ignite, so I’m very thankful he was able to spend a few minutes with me! I hope you find this as interesting as I did :) If you want to learn even more, you can watch his session Experience Microsoft SQL Server 2017: The fast and the furious from Microsoft Ignite 2017:
I got to interview Buck Woody about Data Science at Microsoft Ignite 2017! :)
In this interview, we chat about Microsoft Business Analytics and AI (formerly known as Cortana Intelligence Suite), Artificial Intelligence in Excel, intent-based programming, Predictive Analytics, DevOps for Data Scientists and life-long learning.
Data Science with Buck Woody – Microsoft Ignite 2017
I’m so thankful that Buck took some time out of his busy schedule to chat with me, and I hope all of you enjoy this interview. If you want to learn more, watch his full session DevOps for data science from Microsoft Ignite 2017:
T-SQL Tuesday #68 is hosted by Andy Yun (@SQLBek). Many SQL Server defaults are not ideal, and most of us have a list of defaults we always change. Andy wants us to Just Say No to Defaults and blog about what, why or how we change defaults.
If you are an SSIS developer like me, there is a big chance that the ProtectionLevel in SSIS Packages is on top of your list of defaults to change. The default ProtectionLevel is EncryptSensitiveWithUserKey (ugh), but most of the time it is not the best option. Raise your hand if you have ever asked your favorite search engine for advice on issues like “SSIS package fails in SQL Server Agent job” or if you have ever heard someone exclaim “but it works on my machine!?” :)
There are many great blog posts about the different ProtectionLevels, why you probably want to change to DontSaveSensitive as your default, and how to use configurations and parameters instead of encrypted SSIS packages. I will not go into details about any of that in this post, but I will use ProtectionLevel as an example default property you want to change in many SSIS packages at the same time.
How do you batch update properties in existing SSIS packages? You probably don’t want to open up every single package and change them manually?