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1
Intro
2
Scaling Up vs Scaling Out
3
What is Data Factory
4
Integration Runtimes
5
Why Data Factory
6
Transformation Options
7
Mapping Data Flows
8
Waggle Data Flows
9
Data Transformation
10
Add Pipeline
11
Add Source
12
Aggregate
Description:
Discover how to simplify ETL processes in Azure using Data Factory Mapping Data Flows in this informative conference talk. Learn about the powerful combination of cloud orchestration and Spark clusters, creating a graphical, scalable data flow environment. Gain insights into Azure Data Factory's integration with Azure Databricks, enabling data transformation without writing Scala or Python code. Explore topics such as scaling strategies, Integration Runtimes, transformation options, and the step-by-step process of creating data flows and pipelines. Perfect for those new to Azure services, this talk provides an introduction to both Data Factory and Databricks before delving into the Mapping Data Flow feature.

ETL in Azure Made Easy with Data Factory Mapping Data Flows

PASS Data Community Summit
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