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Can’t Load Data into Azure SQL? Fix It with Azure Data Factory Sink Transformations! 🚀

Pragmatic Works

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Can’t Load Data into Azure SQL? Fix It with Azure Data Factory Sink Transformations! 🚀

6 651 просмотр · 3 г. назад
Pragmatic Works
342 тыс. подписчиков
6 651 просмотр · 3 г. назад
In this episode of the Azure Data Factory Data Flows Series, Austin Libal walks through how to create and configure a Sink Transformation inside Azure Data Factory to load transformed data into an Azure SQL Database. 🚀 Learn how to take data from a Data Lake, apply transformations using Mapping Data Flows, and successfully send the cleaned data into Azure SQL for reporting, analytics, and business intelligence workflows. 📊⚡ This tutorial covers: ✅ Creating a Sink Transformation in Azure Data Factory ✅ Connecting to Azure SQL Database ✅ Creating datasets and linked services ✅ Running Data Flows through Pipelines ✅ Debugging and monitoring pipeline executions ✅ Loading transformed movie rating data into SQL tables Perfect for beginners learning: 🔹 Azure Data Factory 🔹 Azure SQL Database 🔹 ETL & ELT Processes 🔹 Mapping Data Flows 🔹 Azure Data Engineering 👍 Enjoying the series? Don’t forget to LIKE, SUBSCRIBE, and turn on notifications for more Azure tutorials from Pragmatic Works! 💡 Use code Austin30 for an EXTRA 30% OFF On-Demand Learning: Pragmatic Works Training ⏱️ Video Timestamps 00:00 Introduction to Azure Data Factory Sink Transformation 00:55 Overview of Transforming Data from Data Lake to Azure SQL 01:29 Reviewing Movie Data Transformations 01:58 Opening Azure Data Factory Data Flow 02:31 Filtering and Sorting Data in Data Flows 03:08 Adding the Sink Transformation 03:48 Creating a New Azure SQL Dataset 04:17 Configuring Azure SQL Database Connection 04:49 Creating the Movie Ratings Table 05:21 Sink Transformation Settings Explained 05:58 Upserts, Truncate & Table Options 06:31 Creating a Pipeline in Azure Data Factory 07:05 Adding Data Flow Activity to Pipeline 07:38 Selecting the Data Flow for Execution 08:11 Running the Pipeline with Debug 08:46 Monitoring Pipeline Output & Rows Written 09:19 Verifying Data in Azure SQL Database 09:52 Reviewing Final Transformed Movie Data 10:30 Final Thoughts on Azure Data Factory Data Flows 11:02 Outro 📚 Helpful Learning Links 👉 FREE Community Plan: Pragmatic Works Community Plan 🔗 On-Demand Learning Packages 🔗 Pragmatic Works Boot Camps 🔗 Pragmatic Works Hackathons 🔗 Virtual Mentoring 🔗 Enterprise Training 🔗 Pragmatic Works Blog 📱 Connect with Pragmatic Works 🔹 YouTube Channel 🔹 LinkedIn 🔹 Twitter/X 🔹 Facebook 🔹 Instagram 🔥 Suggested Hashtags #AzureDataFactory #AzureSQL #DataEngineering #ETL #ELT #AzureTutorial #MicrosoftAzure #DataFlows #SQLDatabase #AzureDataEngineering #BigData #CloudComputing #PragmaticWorks #AustinLibal #ADF #MappingDataFlows #BusinessIntelligence #DataAnalytics #LearnAzure #AzureForBeginners