Implementing a Lakehouse with Microsoft Fabric (DP-601)
- Course Code M-DP601
- Duration 1 day
Course Delivery
Course Delivery
This course is available in the following formats:
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Company Event
Event at company
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Public Classroom
Traditional Classroom Learning
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Virtual Learning
Learning that is virtual
Request this course in a different delivery format.
Course Overview
TopVirtual Learning
This interactive training can be taken from any location, your office or home and is delivered by a trainer. This training does not have any delegates in the class with the instructor, since all delegates are virtually connected. Virtual delegates do not travel to this course, Global Knowledge will send you all the information needed before the start of the course and you can test the logins.
Course Schedule
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- Delivery Format: Virtual Learning
- Date: 08 July, 2024
- Location: Virtual
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- Delivery Format: Virtual Learning
- Date: 05 August, 2024
- Location: Virtual
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- Delivery Format: Virtual Learning
- Date: 09 September, 2024
- Location: Virtual
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- Delivery Format: Virtual Learning
- Date: 07 October, 2024
- Location: Virtual
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- Delivery Format: Virtual Learning
- Date: 04 November, 2024
- Location: Virtual
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- Delivery Format: Virtual Learning
- Date: 02 December, 2024
- Location: Virtual
Target Audience
TopCourse Content
TopIntroduction to end-to-end analytics using Microsoft Fabric
Discover how Microsoft Fabric can meet your enterprise's analytics needs in one platform. Learn about Microsoft Fabric, how it works, and identify how you can use it for your analytics needs.
- Describe end-to-end analytics in Microsoft Fabric
Get started with lakehouses in Microsoft Fabric
Lakehouses merge data lake storage flexibility with data warehouse analytics. Microsoft Fabric offers a lakehouse solution for comprehensive analytics on a single SaaS platform.
- Describe core features and capabilities of lakehouses in Microsoft Fabric
- Create a lakehouse
- Ingest data into files and tables in a lakehouse
- Query lakehouse tables with SQL
Use Apache Spark in Microsoft Fabric
Apache Spark is a core technology for large-scale data analytics. Microsoft Fabric provides support for Spark clusters, enabling you to analyze and process data in a Lakehouse at scale.
- Configure Spark in a Microsoft Fabric workspace
- Identify suitable scenarios for Spark notebooks and Spark jobs
- Use Spark dataframes to analyze and transform data
- Use Spark SQL to query data in tables and views
- Visualize data in a Spark notebook
Work with Delta Lake tables in Microsoft Fabric
Tables in a Microsoft Fabric lakehouse are based on the Delta Lake storage format commonly used in Apache Spark. By using the enhanced capabilities of delta tables, you can create advanced analytics solutions.
- Understand Delta Lake and delta tables in Microsoft Fabric
- Create and manage delta tables using Spark
- Use Spark to query and transform data in delta tables
- Use delta tables with Spark structured streaming
Ingest Data with Dataflows Gen2 in Microsoft Fabric
Data ingestion is crucial in analytics. Microsoft Fabric's Data Factory offers Dataflows (Gen2) for visually creating multi-step data ingestion and transformation using Power Query Online.
- Describe Dataflow (Gen2) capabilities in Microsoft Fabric
- Create Dataflow (Gen2) solutions to ingest and transform data
- Include a Dataflow (Gen2) in a pipeline
Course Prerequisites
Top- You should be familiar with basic data concepts and terminology.
- M-DP601
- Implementing a Lakehouse with Microsoft Fabric (DP-601)
- Data
- M-DP601 | Implementing a Lakehouse with Microsoft Fabric (DP-601) | Training Course | Microsoft.
- Microsoft