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.
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.
In January 2019, I was honored to be asked to contribute to the PASS Insights BI Edition Newsletter. I said yes, of course! :) I chose to create an Azure Data Factory Data Flows introduction video. This is a sneak preview of the upcoming Data Flows feature, with a quick walkthrough of how easy it can be to create scalable data transformations in the cloud – without writing any code!
Please note: As of January 2019, when I recorded this video and published this blog post, Azure Data Factory Data Flows is still in preview. Features will be added and things will get changed, just like all the other Azure products. But! Hopefully this shows what you can look forward to.
At the end of this blog post, I have tried to answer some frequently asked questions about Azure Data Factory Data Flows.