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klotz: data warehouse* + data engineering*

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1. Top Reverse ETL Technologies in 2021 | by Tech Ninja | Technology Now and Next | Sep, 2021 | Medium

   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.

   2021-09-21 Tags: etl, reverse etl, mdm, data engineering, data pipeline, data warehouse by klotz
2. The modern data pattern. Replyable data processing and ingestion… | by Luca Bigon | Jan, 2022 | Towards Data Science

   2022-01-31 Tags: lambda architecture, repeatability, snowflake, dbt, pulumi, data engineering, machine learning, data warehouse by klotz
3. 10 GitHub Repositories to Master Data Engineering

   Learn data engineering through free courses, tutorials, books, tools, guides, roadmaps, practice exercises, projects, and other resources.

   2024-05-22 Tags: github, data engineering, infrastructure as code, workflow orchestration, data ingestion, data warehouse, analytics engineering, batch processing, streaming tools, cloud infrastructure by klotz

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