Microsoft Fabric - Introduction | What is Data Factory?

In this tutorial, you will learn "How to create an event-driven Cloud Function that reads PDF files from Google Cloud Storage (GCS) and pushes their contents into BigQuery" in GCP.

Microsoft Fabric is an all-in-one analytics solution that covers a wide spectrum of services, making it a comprehensive platform for enterprises. Here are some key aspects of Microsoft Fabric:

Data Movement and Transformation: Fabric provides cloud-scale data movement and data transformation services. It allows organizations to solve complex data factory and ETL (Extract, Transform, Load) scenarios1. Unified Experience: Fabric unites various data toolsets under a single umbrella. Instead of stitching together services from multiple vendors, users get an end-to-end, highly integrated, and comprehensive product that is easy to understand, onboard, create, and operate2. Components: Fabric includes data lake, data engineering, data integration, data science, real-time analytics, and business intelligence1. Data Factory in Microsoft Fabric Data Factory in Microsoft Fabric is the next generation of Azure Data Factory. It combines the best of both Power Query and Azure Data Factory into a unified experience. Here are some key features:

Data Ingestion: The Copy activity in pipelines allows you to move petabyte-scale data from hundreds of data sources into your data lakehouse for further processing2. Data Transformation and Preparation: Dataflow Gen2 provides a low-code interface for transforming your data using 300+ data transformations. You can load the transformed results into multiple destinations such as Azure SQL databases, lakehouses, and more2. End-to-End Integration Flow Automation: Pipelines orchestrate activities, including Copy, Dataflow, and Notebook activities. You can manage these activities all in one place, chaining them together sequentially or operating them independently in parallel2.

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