DP-601T00: Implementing a Lakehouse with Microsoft Fabric

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About Course

The DP-601T00: Implementing a Lakehouse with Microsoft Fabric course is designed to educate learners on how to build an end-to-end analytics solution using Microsoft’s integrated analytics platform, known as Microsoft Fabric. This course covers the essential aspects of working with Fabric, including the creation and management of lakehouses, leveraging Apache Spark for data processing, understanding Delta Lake tables for reliable storage, integrating Dataflows Gen2 for data ingestion, and utilizing Data Factory pipelines for orchestrating and automating data workflows.Through the comprehensive modules, participants will gain hands-on experience in implementing a lakehouse architecture, from data exploration and transformation to visualization, and will learn best practices for team collaboration within the Fabric ecosystem. By completing this course, learners can prepare for Microsoft Fabric certification and acquire the skills necessary to architect and implement robust analytics solutions on the Microsoft Fabric platform, setting a foundation for future innovation and data-driven decision-making.

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What Will You Learn?

  • Gain a foundational understanding of Microsoft Fabric and its role in facilitating collaborative data analytics.
  • Learn about the architecture and components of a lakehouse and how it integrates with Microsoft Fabric.
  • Acquire skills to explore, transform, and visualize data within a lakehouse environment.
  • Develop proficiency in using Apache Spark for large-scale data processing within Microsoft Fabric.
  • Master data manipulation and analysis using Spark DataFrames and Spark SQL.
  • Understand the concepts of Delta Lake and the advantages of using delta tables for data management.
  • Learn to perform data versioning and implement time travel with Delta Lake tables for historical analysis.
  • Explore the capabilities of Dataflows Gen2 and how to integrate them with other services in Microsoft Fabric.
  • Get hands-on experience with creating and managing data pipelines using Azure Data Factory within Microsoft Fabric.
  • Monitor and troubleshoot data pipelines to ensure efficient and reliable data processing workflows.
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