
Reverse ETL: The Last Mile in Operationalizing the Data Lake
Organizations want data lakes to be the source of truth for analytics. But typically there are more users that treat operational tools like Salesforce, Marketo, and NetSuite as their source of truth.
The reality is these tools are all missing critical pieces of data and don’t provide the full picture. Reverse ETL solves this last mile problem by syncing transformed data directly from your data lake back into these systems, at scale.
In this talk you’ll learn:
- What Reverse ETL is and why it’s taking off
- The difference between ETL and Reverse ETL
- How Reverse ETL helps companies operationalize their data
- Examples of companies unlocking new business use cases using Reverse ETL
Ready to Get Started? Here Are Some Resources to Help


Guides
What Is a Data Lakehouse?
The data lakehouse is a new architecture that combines the best parts of data lakes and data warehouses. Learn more about the data lakehouse and its key advantages.
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Whitepaper
Simplifying Data Mesh for Self-Service Analytics on an Open Data Lakehouse
The adoption of data mesh as a decentralized data management approach has become popular in recent years, helping teams overcome challenges associated with centralized data architecture.
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