Information Technology

DP-600T00 Microsoft Fabric Analytics Engineer

Instructor-Led 15 Agenda

Description

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.

Course Overview

Who Should Attend

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.

Ingest Data with Dataflows Gen2 in Microsoft Fabric Lesson Id 1

Ingest Data with Dataflows Gen2 in Microsoft Fabric

Ingest data with Spark and Microsoft Fabric notebooks Lesson Id 2

Ingest data with Spark and Microsoft Fabric notebooks

Use Data Factory pipelines in Microsoft Fabric Lesson Id 3

Use Data Factory pipelines in Microsoft Fabric

Get started with lakehouses in Microsoft Fabric Lesson Id 4

Get started with lakehouses in Microsoft Fabric

Organize a Fabric lakehouse using medallion architecture design Lesson Id 5

Organize a Fabric lakehouse using medallion architecture design

Use Apache Spark in Microsoft Fabric Lesson Id 6

Use Apache Spark in Microsoft Fabric

Work with Delta Lake tables in Microsoft Fabric Lesson Id 7

Work with Delta Lake tables in Microsoft Fabric

Get started with data warehouses in Microsoft Fabric Lesson Id 8

Get started with data warehouses in Microsoft Fabric

Load data into a Microsoft Fabric data warehouse Lesson Id 9

Load data into a Microsoft Fabric data warehouse

Query a data warehouse in Microsoft Fabric Lesson Id 10

Query a data warehouse in Microsoft Fabric

Monitor a Microsoft Fabric data warehouse Lesson Id 11

Monitor a Microsoft Fabric data warehouse

Understand scalability in Power BI Lesson Id 12

Understand scalability in Power BI

Create Power BI model relationships Lesson Id 13

Create Power BI model relationships

Use tools to optimize Power BI performance Lesson Id 14

Use tools to optimize Power BI performance

Enforce Power BI model security Lesson Id 15

Enforce Power BI model security

Lesson Id	Title	Description
1	Ingest Data with Dataflows Gen2 in Microsoft Fabric	Understand Dataflows (Gen2) in Microsoft Fabric<br />Explore Dataflows (Gen2) in Microsoft Fabric<br />Integrate Dataflows (Gen2) and Pipelines in Microsoft Fabric
2	Ingest data with Spark and Microsoft Fabric notebooks	Connect to data with Spark<br />Write data into a lakehouse<br />Consider uses for ingested data
3	Use Data Factory pipelines in Microsoft Fabric	Understand pipelines<br />Use the Copy Data activity<br />Use pipeline templates<br />Run and monitor pipelines
4	Get started with lakehouses in Microsoft Fabric	Explore the Microsoft Fabric Lakehouse<br />Work with Microsoft Fabric Lakehouses<br />Explore and transform data in a lakehouse
5	Organize a Fabric lakehouse using medallion architecture design	Describe medallion architecture<br />Implement a medallion architecture in Fabric<br />Query and report on data in your Fabric lakehouse<br />Considerations for managing your lakehouse
6	Use Apache Spark in Microsoft Fabric	Prepare to use Apache Spark<br />Run Spark code<br />Work with data in a Spark dataframe<br />Work with data using Spark SQL<br />Visualize data in a Spark notebook
7	Work with Delta Lake tables in Microsoft Fabric	Understand Delta Lake<br />Create delta tables<br />Work with delta tables in Spark <br />Use delta tables with streaming data
8	Get started with data warehouses in Microsoft Fabric	Understand data warehouse fundamentals<br />Understand data warehouses in Fabric<br />Query and transform data<br />Prepare data for analysis and reporting<br />Secure and monitor your data warehouse
9	Load data into a Microsoft Fabric data warehouse	Explore data load strategies<br />Use data pipelines to load a warehouse<br />Load data using T-SQL<br />Load and transform data with Dataflow Gen2
10	Query a data warehouse in Microsoft Fabric	Use the SQL query editor<br />Explore the visual query editor<br />Use client tools to query a warehouse
11	Monitor a Microsoft Fabric data warehouse	Monitor capacity metrics<br />Monitor current activity<br />Monitor queries
12	Understand scalability in Power BI	Describe the significance of scalable models<br />Implement Power BI data modeling best practices<br />Configure large datasets
13	Create Power BI model relationships	Understand model relationships<br />Set up relationships<br />Use DAX relationship functions<br />Understand relationship evaluation
14	Use tools to optimize Power BI performance	Use Performance analyzer<br />Troubleshoot DAX performance by using DAX Studio<br />Optimize a data model by using Best Practice Analyzer
15	Enforce Power BI model security	Restrict access to Power BI model data<br />Restrict access to Power BI model objects<br />Apply good modeling practices