Loading Files with Spark Structured Streaming in Microsoft Fabric

If you're working with Spark Structured Streaming in Microsoft Fabric, this article is a must-read. Here, you'll dive into the process of loading files into the Delta format, which is central to the concept of a lakehouse. This involves converting raw data in formats like JSON, Parquet, Avro, and more into Delta format.

At the heart of this process lies the extraction of files from source systems, which typically involves using tools like Data Factory. Once extracted, the files are placed in a location where they can be accessed by Delta Lake. From there, Spark Structured Streaming comes into play, allowing you to process the data and generate insights that are both timely and accurate.

By following the procedures outlined in this article, you'll be able to leverage the full power of Spark Structured Streaming to unlock the value of your data in the Delta format. Whether you're a seasoned data professional or just starting your journey in the world of data, this article equips you with the knowledge and tools to succeed.

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