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❄️ Automate Data Quality with Snowflake DMFs! Learn how Data Quality Engineers can use Snowflake Data Metric Functions (DMFs) to build, automate, and monitor end-to-end data quality checks. 🚀 In this complete guide, you’ll discover: ✅ System & Custom DMFs explained ✅ How to schedule and automate data quality checks ✅ How to track, view & remediate DMF results ✅ Real-world interview Q&A for Data Engineers & ETL Testers If you want to scale and automate your data quality monitoring in Snowflake, this video is for you! ❄️ In this video, you’ll learn: 00:00 🎬 Intro 00:34 ❄️ What are Snowflake Data Metric Functions (DMFs)? 05:40 ⚙️ Snowflake System DMFs 11:51 🧩 Snowflake Custom DMFs | Single Table 16:54 🔗 Snowflake Custom DMFs | Cross-Table Checks 21:21 ⏰ Schedule & Trigger DMFs 26:36 📊 Access DMF Results in Snowflake 32:28 🩺 Remediate Data Quality Issues with DMFs 37:03 💼 Snowflake DMFs – Interview Q&A for Data Engineers & ETL Testers 51:58 🎯 Outro This end-to-end guide helps Data Quality Engineers and Analysts transform raw data into trusted, business-ready datasets. 🌟 📺 Related Videos: 🎵 ‘Data Quality Engineering’ playlist - • Data Quality Engineering 🎵 ‘Data Fundamentals’ playlist - • 📊 Why Data? Explore the Impact and Signifi... 🎵 ‘Data Warehousing Essentials’ playlist - • 📊 Data Warehousing Demystified | From Byte... 🎵 ‘Data Engineering Fundamentals’ playlist - • 📥 Data Ingestion Demystified: Batch vs Str... 🔔 Subscribe on Youtube: / @datamuscle 🤝 Stay Connected: Share your thoughts, questions, and experiences in the comments section below. Let's build a community of data enthusiasts!