Cathrine Wilhelmsen

Information & Communications Technology

Business Intelligence Data Warehousing Data Integration ETL Azure Data Platform Azure Data Factory Azure Synapse Analytics Microsoft Data Platform SQL Server Integration Services SSIS Biml BimlScript Microsoft SQL Server SQL Server SQL

Oslo, Norway

Understanding Azure Data Factory Pricing

Azure Data Factory pricing is easy, right? No upfront costs. Pay only for what you use. It's a wonderful world for developers. Just a few clicks and your solution is ready for production!

But what do you present to management when they ask for cost estimates? "I guess we just have to wait for the next invoice" is rarely an acceptable answer. It is definitely not an acceptable answer if that invoice turns out to be unexpectedly high.

Bring your calculator! In this session, we will go through some common ETL patterns to explain the Azure Data Factory pricing model. Once we have our monthly estimates, we will discuss which patterns are good candidates - and which patterns you probably want to rethink before deploying to production...

Session Level: 100 / Beginner
Session Length: 20-30 minutes
Prerequisites: Should be familiar with Azure Data Factory concepts.


Cathrine Wilhelmsen

Tech Lead and Senior Data Management & Analytics Consultant in Skill | Microsoft Data Platform MVP

Cathrine loves data and coding, as well as teaching and sharing knowledge 🤓 She is based in Norway and works as a Tech Lead and Senior Data Management & Analytics Consultant in Skill, focusing on Data Integration and Data Warehousing. Her core skills are Azure Data Factory, Azure Synapse Analytics, SSIS, Biml 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 tweets at @cathrinew.


Cathrine is based in Norway, but loves traveling and speaking internationally.

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