Cathrine Wilhelmsen
Cathrine loves data and coding, as well as teaching and sharing knowledge 🤓 She is based in Norway and works as a Data & Analytics Principal Consultant in Evidi, focusing on Data Integration and Data Warehousing. Her core skills are Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure SQL, SQL Server and T-SQL development, but she enjoys everything from programming to data visualization. Outside of work she’s active in the Azure and Microsoft Data communities as a Microsoft Data Platform MVP, international speaker, blogger, organizer, and chronic volunteer. She blogs at cathrinew.net and posts as @cathrinew.net on Bluesky.
Cathrine Wilhelmsen's Training Days
Build a Microsoft Fabric Proof of Concept in a DaySQLBits 2024
In just one day, you will learn everything you need to build a Microsoft Fabric Proof of Concept. Our experienced flight attendants will ensure a safe flight full of relevant use cases and a good learning environment.
Beginner's Guide to Data Integration using Azure Data Factory or Azure Synapse AnalyticsSQLBits 2022
In this full-day workshop, you will learn the skills you need to build and maintain data integration solutions in Azure Data Factory or Azure Synapse Analytics.
Learn Biml Today: Start Using It TomorrowSQLBits 2016
Business Intelligence Markup Language (Biml) automates your BI patterns and eliminates the manual repetition that consumes most of your SQL, SSIS, and SSAS development time. In this session, learn everything you need to start using Biml immediately.
Cathrine Wilhelmsen's Sessions
Website Analytics in My Pocket Using Microsoft FabricSQLBits 2024
Join this session to see how easy it is to create a pocket-sized dashboard for your website analytics. First, learn how to automatically collect statistics from an API and store it in a central location. Then, see how quickly you can visualize the data in a mobile-friendly way using Power BI. 📈
Choosing between Microsoft Fabric, Azure Synapse Analytics and Azure Data FactorySQLBits 2024
Learn the pros and cons of Microsoft Fabric, Azure Synapse Analytics and Azure Data Factory, and how to choose the right Data Integration solution for your project.
"I can't keep up!" - Turning Discomfort into Personal Growth in a Fast-Paced WorldSQLBits 2023
Are you struggling to keep up with all the latest product changes and new technologies? Awesome! That means you have ambitions. You can do anything if you set your mind to it. It just might not be easy. Are you ready to turn your "I can't keep up" into "I can't believe I did all of that in just one year"?
Stressed, Depressed, or Burned Out? The Warning Signs You Shouldn't IgnoreSQLBits 2023
Stress barges through your door and yells "hey, it's me!", while depression and burnout silently sneak in and gradually make adjustments until one day you turn around and realize that you no longer recognize your house. What are the warning signs you need to be aware of in yourself or your loved ones?
6 Tips for Building Confidence as a Public SpeakerSQLBits 2022
In this session, I share the top tips I have learned over the years. All it takes is a little preparation and practice.
Lessons Learned: Implementing Azure Synapse Analytics in a Rapidly-Changing StartupSQLBits 2022
What happens when you mix one rapidly-changing startup, one data analyst, one data engineer, and one hypothesis that Azure Synapse Analytics could be the right tool of choice?
Biml Tips and Tricks: Not just for SSIS packages!SQLBits 2019
Biml is not just for generating SSIS packages! Come and see how you can use Biml to save time and speed up other Data Warehouse development tasks like T-SQL development, test data creation, and dimension population.
Level Up Your Biml: Best Practices and Coding TechniquesSQLBits 2018
Attend this session for an overview of Biml best practices and coding techniques. Learn how to centralize and reuse code, simplify logic, and create your own C# classes and methods. Improve your code and level up your Biml in no time!
Tools and Tips: From accidental to efficient DWH developerSQLBits 2015
As data warehouse developers we deliver data to business users... but we don't deliver data as fast as we want. There are many things you can do to increase your own productivity and become a more efficient data warehouse developer.