Descrizione

This course covers methods and practices for implementing and managing enterprise-scale data analytics solutions using Microsoft Fabric. Students will build on existing analytics experience and will learn how to use Microsoft Fabric components, including lakehouses, data warehouses, notebooks, dataflows, data pipelines, and semantic models, to create and deploy analytics assets.

This course is best suited for those who have the PL-300 certification or similar expertise in using Power BI for data transformation, modeling, visualization, and sharing. Also, learners should have prior experience in building and deploying data analytics solutions at the enterprise level.

Target

The primary audience for this course is data professionals with experience in data modeling, extraction, and analytics. DP-600 is designed for professionals who want to use Microsoft Fabric to create and deploy enterprise-scale data analytics solutions.

Prerequisiti

PL-300T00: Power BI Data Analyst

Programma Corso

Ingest Data with Dataflows Gen2 in Microsoft Fabric

• Describe Dataflow (Gen2) capabilities in Microsoft Fabric
• Create Dataflow (Gen2) solutions to ingest and transform data
• Include a Dataflow (Gen2) in a pipeline
• Lab: Create and use a Dataflow (Gen2) in Microsoft Fabric

Ingest data with Spark and Microsoft Fabric notebooks

• Ingest external data to Fabric lakehouses using Spark
• Configure external source authentication and optimization
• Load data into Lakehouse as files or as Delta tables
• Lab: Ingest data with Spark and Microsoft Fabric notebooks

Use Data Factory pipelines in Microsoft Fabric

• Describe pipeline capabilities in Microsoft Fabric
• Use the Copy Data activity in a pipeline
• Create pipelines based on predefined templates
• Run and monitor pipelines
• Lab: Ingest data with a pipeline

Get started with lakehouses in Microsoft Fabric

• Describe the 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
• Lab: Create and ingest data with a Microsoft Fabric Lakehouse

Organize a Fabric lakehouse using medallion architecture design

• Describe the principles of using the medallion architecture in data management
• Apply the medallion architecture framework within the Microsoft Fabric environment
• Analyze data stored in the lakehouse using DirectLake in Power BI
• Describe best practices for ensuring the security and governance of data stored in the medallion architecture
• Lab: Organize your Fabric lakehouse using a medallion architecture

Use Apache Spark in Microsoft Fabric

• Configure Spark in a Microsoft Fabric workspace
• Identify suitable scenarios for Spark notebooks and Spark jobs
• Use Spark data frames to analyze and transform data
• Use Spark SQL to query data in tables and views
• Visualize data in a Spark notebook
• Lab: Analyze data with Apache Spark

Work with Delta Lake tables in Microsoft Fabric

• 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
• Lab: Use delta tables in Apache Spark

Get started with data warehouses in Microsoft Fabric

• Describe data warehouses in Fabric
• Understand a data warehouse vs. a data Lakehouse
• Work with data warehouses in Fabric
• Create and manage datasets within a data warehouse
• Lab: Analyze data in a data warehouse

Load data into a Microsoft Fabric data warehouse

• Learn different strategies to load data into a data warehouse in Microsoft Fabric
• Learn how to build a data pipeline to load a warehouse in Microsoft Fabric
• Learn how to load data in a warehouse using T-SQL
• Learn how to load and transform data with dataflow (Gen 2)
• Lab: Load data into a warehouse in Microsoft Fabric

Monitor a Microsoft Fabric data warehouse

• Monitor capacity unit usage with the Microsoft Fabric Capacity Metrics app
• Monitor current activity in the data warehouse with dynamic management views
• Monitor querying trends with query insights views
• Lab: Monitor a data warehouse in Microsoft Fabric

Understand scalability in Power BI

• Describe the importance of building scalable data models
• Implement Power BI data modeling best practices
• Use the Power BI large dataset storage format
• Lab: Create a star schema model

Create Power BI model relationships

• Understand how model relationship work
• Set up relationships
• Use DAX relationship functions
• Understand relationship evaluation
• Lab: Work with model relationships

Use tools to optimize Power BI performance

• Optimize queries using performance analyzer
• Troubleshoot DAX performance using DAX Studio
• Optimize a data model using Tabular Editor
• Lab: Use tools to optimize Power BI performance

Enforce Power BI model security

• Restrict access to Power BI model data with RLS
• Restrict access to Power BI model objects with OLS
• Apply good development practices to enforce Power BI model security
• Lab: Enforce model security

Certificazione

DP-600: Implementing Analytics Solutions Using Microsoft Fabric (beta)