DP-601T00 Implementing a Lakehouse with Microsoft Fabric

1 – Introduction to end-to-end analytics using Microsoft Fabric

– Gain an understanding of end-to-end analytics with Microsoft Fabric

– Learn about the collaboration between data teams and Microsoft Fabric

– Enable and utilize Microsoft Fabric for comprehensive analytics

2 – Get started with lakehouses in Microsoft Fabric

– Explore the functionalities of the Microsoft Fabric Lakehouse

– Learn how to effectively work with Microsoft Fabric Lakehouses

– Explore and perform data transformation within a lakehouse environment

3 – Use Apache Spark in Microsoft Fabric

– Prepare for utilizing Apache Spark within Microsoft Fabric

– Execute Spark code for data processing

– Work with data in a Spark dataframe and utilize Spark SQL for efficient data handling

– Visualize data using a Spark notebook for improved data analysis

4 – Work with Delta Lake tables in Microsoft Fabric

– Gain an understanding of Delta Lake and its benefits

– Create and manage delta tables for effective data organization

– Utilize delta tables in Spark for streamlined data processing

– Incorporate delta tables in the context of streaming data for real-time analytics

5 – Ingest Data with Dataflows Gen2 in Microsoft Fabric

– Learn about Dataflows Gen2 and its significance within Microsoft Fabric

– Explore the functionalities of Dataflows Gen2 in the context of Microsoft Fabric

– Integrate Dataflows Gen2 with Pipelines to streamline data ingestion and processing

6 – Use Data Factory pipelines in Microsoft Fabric

– Understand the concept of pipelines and their role in data processing

– Utilize the Copy Data activity for efficient data transfer within pipelines

– Leverage pipeline templates for streamlined pipeline creation

– Run and monitor pipelines to ensure smooth data processing and transfer