Step-by-Step Guide to "Export SQL Database Table" to "Azure Data Lake" as CSV with Azure Data Factory.
Arpit TyagiTable of contents
- Step 1: Create an instance of Azure Data Factory
- Step 2: Set up Linked Services
- Step 3: Create a dataset for both the SQL database and the Data Lake CSV file format.
- Step 4: Build the Data Pipeline by following the provided instructions.
- Step 5: Test and Debug the Pipeline
- Step 6: Verify the CSV Export by checking the exported file for accuracy and completeness.
Step 1: Create an instance of Azure Data Factory
Step 2: Set up Linked Services
Continue following the instructions shown in the images.
Step 3: Create a dataset for both the SQL database and the Data Lake CSV file format.
Step 4: Build the Data Pipeline by following the provided instructions.
Step 5: Test and Debug the Pipeline
Step 6: Verify the CSV Export by checking the exported file for accuracy and completeness.
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Written by
Arpit Tyagi
Arpit Tyagi
Experienced Data Engineer passionate about building and optimizing data infrastructure to fuel powerful insights and decision-making. With a deep understanding of data pipelines, ETL processes, and cloud platforms, I specialize in transforming raw data into clean, structured datasets that empower analytics and machine learning applications. My expertise includes designing scalable architectures, managing large datasets, and ensuring data quality across the entire lifecycle. I thrive on solving complex data challenges using modern tools and technologies like Azure, Tableau, Alteryx, Spark. Through this blog, I aim to share best practices, tutorials, and industry insights to help fellow data engineers and enthusiasts master the art of building data-driven solutions.