Write Single CSV, Parquet, JSON Files Using Apache Spark Pool in Azure Synapse |
Welcome to Azure Synapse Analytics Tutorial for Data Engineer
In this 47th video of our Azure Synapse Analytics series, you'll learn how to write data as a single file in CSV, Parquet, or JSON format using Apache Spark Pools in Synapse — a vital skill for creating clean, portable datasets.
📝 In this tutorial, we’ll cover:
How to write single output files (not multiple part files) using Spark DataFrame APIs
Saving data in CSV, Parquet, and JSON formats
Using coalesce() and repartition() to control output
Managing output paths in Azure Data Lake Storage (ADLS)
Real-world use cases: exporting results, integrating with downstream systems, or archiving
This tutorial is a must-watch for data engineers working with big data pipelines, ETL tasks, or file-based workflows in Azure Synapse.
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