SQLSaturday Oslo 2019 is just around the corner! In exactly one month from now, on August 29th, I will be delivering an Azure Data Factory precon. Two days after that, on August 31st, I will be delivering an Azure Data Factory session. It’s going to be a long but absolutely awesome weekend! This is our sixth SQLSaturday in Oslo, and it will be bigger and better than ever :)
SQLSaturday Oslo 2019 Precons
This year, the organizers have decided to have two days of precons. Wow! This is a big step, and hopefully the attendees will appreciate the opportunity to learn even more from the amazing speakers visiting Norway.
On Thursday, August 29th, you can choose between two precons:
- Speed up database performance with the magic of Service Broker by Allen White
- Azure Data Factory Deep Dive by Cathrine Wilhelmsen
On Friday, August 30th, you can choose between three precons:
- Succeed with DevOps as a DBA by Grant Fritchey
- Introduction to Azure SQL Database Managed Instances by John Q. Martin
- BI in the cloud on the menu – Select your dish of the day by Alexander Klein and Gabi Münster
*switching to my best commercial voice*
The price is only 2500 NOK (plus fees), which is ridiculously cheap for the quality of content and speakers ;) What are you waiting for? Register today!
Discount? DISCOUNT CODE!
Since you are an awesome reader of my blog, I have a special discount code for you! Use ILOVEADF for a 10% discount on my Azure Data Factory precon :D
SQLSaturday Oslo 2019 Schedule
As always, the main event is completely free. Yay! This year, there are 6 tracks and 35 sessions scheduled. You can find the full schedule on the SQLSaturday website.
I will be presenting a brand new session this year:
Building Dynamic Data Pipelines in Azure Data Factory
You already know how to build, orchestrate, and monitor data pipelines in Azure Data Factory. But how do you go from basic, hardcoded data pipelines to making your solution dynamic and reusable?
In this session, we will dive straight into some of the more advanced features of Azure Data Factory. How do you parameterize your linked services, datasets, and pipelines? What is the difference between parameters and variables, and when should you use them? And how does the expression language and built-in functions really work?
We will answer these questions by going through an existing solution step-by-step and gradually making it dynamic and reusable. Along the way, we will cover best practices and lessons learned.