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How to ensure data quality and integrity using open-source tools for observability in data pipelines.
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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