This comprehensive article is a guide for data professionals preparing for the DP-600 exam and aiming to master data ingestion and transformation within Microsoft Fabric.
It begins by analyzing the core components of Fabric, including Power BI services, Data Factory, and Synapse, emphasizing the importance of Fabric capacity for optimal performance. The article then delves into SKUs, cost optimization strategies, and the differences between Lakehouses and Warehouses, guiding users in choosing the right tool for their needs.
A large portion of the article is devoted to practical aspects such as building data pipelines and data flows. It explains how to create, configure, and schedule these workflows, including data source connections, transformations, and data destinations. The article highlights two methods for copying data, Copy Data Assistant and Copy Activity, comparing their strengths and use cases.
In addition, the article covers advanced data pipeline management, focusing on scheduling for automation and monitoring runs for performance analysis and troubleshooting. The article concludes by presenting sample datasets and ready-made templates available within Fabric, encouraging users to take advantage of these resources for learning and experimentation.
Overall, the article provides readers with the knowledge and practical guidance needed to effectively ingest, transform, and manage data within the Microsoft Fabric ecosystem.
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