klotz: data warehouse* + data pipeline* + etl*

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  1. Use cases of Reverse ETL
    There are three primary use cases for Reverse ETL:
    Operational Analytics — feeding insights from analytics to business teams in their usual workflows and tools so they can make data-informed decisions.
    Data Automation — Automating ad-hoc data requests from other teams. For example, when the finance team requests product usage data for invoicing.
    In-App Personalization — with a growing number of data sources, reverse ETL connects those sources to personalize customer experiences.

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