- Get to Know Reverse ETL
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What Is Reverse ETL? 2 min
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Destination Types 2 min
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Key Components 1 min
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Use Cases 3 min
- Set Up Reverse ETL
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Add a Source 1 min
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Action Destinations and Mapping 3 min
- Examples
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Reverse ETL with Twilio Engage 2 min
- End of the Course
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Resources
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Course Feedback
Activate Warehouse Data with Reverse ETL (Extract, Transform, Load)
In this course, you learn about Reverse ETL, what it is, how it works, and how to model data from within a data warehouse so you can use the data to personalize customer experiences in any supported application. You also learn to set up an end-to-end pipeline from a data warehouse into a supported downstream tool.
Reverse ETL (extract, transform, and load) takes data from a source, cleans and structures it, and sends it to a data warehouse or data lake. If you load data before transforming it, you’re performing ELT.
Reverse ETL process copies data from a warehouse into business applications like CRMs, analytics and marketing automation software. You perform this process using a reverse ETL tool that integrates with your data source and business SaaS tools. Some CDPs can also activate data in those apps.
In short, ETL/ELT and Reverse ETL sit on opposite sides of a data pipeline. One fulfills data integration, the other, data activation.
In this course, you learn about Reverse ETL, what it is, how it works, and how to model data from within a data warehouse so you can use the data to personalize customer experiences in any supported application. You also learn to set up an end-to-end pipeline from a data warehouse into a supported downstream tool.
Objectives:
- Explain Reverse ETL.
- List the types of destinations.
- Describe the key components.
- Create a source.