At SQLBits 2019, I co-presented the Azure Data Factory Deep Dive with Jason Horner (@jasonhorner). We received great and actionable feedback from our attendees (thank you!) and have been working on improving the session since then. That includes everything from moving sections around for a better flow, to adding newly released features like Wrangling Data Flows.
Since I will be presenting these deep dives alone, I have also made some additional changes. Without an experienced trainer like Jason by my side, I’m not entirely confident running hands-on labs during the day. Instead, I will be focusing on delivering the best and most updated content I can, and let attendees work through labs on their own :)
In May 2019, Varigence released BimlExpress 2019. This is the first major release with support for both Visual Studio 2019 and SSIS 2019. It includes bug fixes and performance enhancements. You can read more in the official release notes and download the extension from Varigence.
On June 20-21, I will be enjoying bratwurst and beer in Lingen, Germany – while speaking at DataGrillen 2019!
I’m so happy and thankful to be a part of this event again. Last year, when it was called SQLGrillen, there were a total of 35 sessions. This year, the event has grown to 50 sessions over 2 days! More time to learn and network, yay :)
DataGrillen 2019 Schedule
I will be presenting my session Uhms and Bunny Hands: Tips for Improving Your Presentation Skills on Friday, June 21st. This is a fun session to present, because I will show you all the presentation mistakes I’ve made over the years so you can learn what NOT to do :) I will also share tips on how to craft your session to help your attendees remember your key messages, how to prepare for demo failures and worst-case scenarios, and how to build confidence as a new speaker.
If you are looking for more technical sessions, check out the full schedule and speaker list. All I can say is: wow. That is one impressive line-up!
In 2019, the Azure Data Factory team announced two exciting features. The first was Mapping Data Flows (currently in Public Preview), and the second was Wrangling Data Flows (currently in Limited Private Preview). Since then, I have heard many questions. One of the more common questions is “which should I use?” In this blog post, we will be comparing Mapping and Wrangling Data Flows to hopefully make it a little easier for you to answer that question.
Should you use Mapping or Wrangling Data Flows?
Now, we all know that the consultant answer to “which should I use?” is It Depends ™ :) But what does it depend on?
To me, it boils down to a few key questions you need to ask:
What is the task or problem you are trying to solve?
Where and how will you use the output?
Which tool are you most comfortable using?
Before we dig further into these questions, let’s start with comparing Mapping and Wrangling Data Flows.