This document discusses visual data transformations in Azure Data Factory. It introduces Mapping Data Flows, which allow transforming data at scale visually without code. It explores the capabilities of Mapping Data Flows, the various transformations available, using expressions, debugging transformations, and handling schema drift. The document includes a demonstration of transforming sample data using Mapping Data Flows.
Creating Visual Transformations in Azure Data Factory (dataMinds Connect)
1. Creating Visual Transformations in Azure Data Factory@cathrinew
Azure Data Factory v2 came with many new capabilities and
improvements. One of biggest game-changers is the Mapping
Data Flows feature, allowing you to transform data at scale -
without having to write a single line of code!
In this session, we will first go through the capabilities and
use cases for Mapping Data Flows. Then, we will explore the
various transformations available, as well as the expression
language and how to use the visual expression builder.
Finally, we will look at how to debug, monitor, and optimize
our data transformations.
Cathrine Wilhelmsen