When ETL Is Essential in Your Data Stack

When ETL Is Essential in Your Data Stack

This article covers data integration issues that ETL solves, the benefits of adding ETL, how this process works, and the types of ETL solutions available.

Extract, Transform, Load technology sits between your data source and its destination in your data stack. It’s a useful way of delivering data from multiple applications, databases, and other sources to your CRM, data lake, or data warehouse for analysis and use. But how do you know that it’s time to add ETL to your organization’s data stack?

This article covers data integration issues that ETL solves, the benefits of adding ETL, how this process works, and the types of ETL solutions available.

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