DP-601T00: Implementing a Lakehouse with Microsoft Fabric
Course Overview
Schedule Dates
Course Content
- Introduction to Microsoft Fabric
- Data teams and Fabric
- Enable and use Microsoft Fabric
- What is a Lakehouse
- Work with a Fabric Lakehouse
- Explore, transform and visualize data in the Lakehouse
- Prepare to use Apache Spark
- Run Spark in Fabric
- Load data in a Spark DataFrame
- Transform data in a Spark DataFrame
- Partition the output file
- Work with data using Spark SQL
- Query Data using Spark SQL API
- Visualize Data
- Understand Delta Lake
- Create delta tables using code in Spark
- Managed vs External Tables
- Work with delta tables in Spark
- Data versioning and Time Trave
- Use delta tables with Streaming data
- Understand Dataflows (Gen2)
- Dataflow (Gen2) benefits and limitations
- Explore Dataflows (Gen2) in Microsoft Fabric
- Integrate Dataflows (Gen2) and Pipelines in Microsoft Fabric
- Pipelines in Microsoft Fabric
- Common Activities – Copy Data
- Common Activities – pipeline templates
- Run and monitor pipelines
FAQs
Participants should have a basic understanding of data engineering concepts and experience with data platforms. Familiarity with Microsoft Azure and data management will be beneficial.
You will learn to:
- Design and implement lakehouse architectures using Microsoft Fabric.
- Integrate data lakes and data warehouses for unified data analytics.
- Manage and optimize data workflows within the lakehouse environment.
- Utilize Microsoft Fabric’s tools and features for effective data management.
Yes, the course includes practical labs where you will apply your knowledge by setting up and managing lakehouse environments using Microsoft Fabric.
To enroll, visit the CounselTrain website and complete the registration process. For additional assistance, reach out to our support team.
Topics include designing lakehouse architectures, integrating data lakes and warehouses, managing data workflows, and using Microsoft Fabric tools for data management.
The course provides essential skills for implementing and managing lakehouse architectures, enhancing your ability to handle complex data environments and advancing your career in data engineering and architecture.
Flexible Training Options to Meet Your Needs
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