Microsoft Fabric Analytics Engineer (DP-600T00)
Contact us to book this course
On-Site, Virtual
4 days
Learning Objectives
-
Implement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integration
-
Access external data sources, configure authentication, and optimize data intake for Fabric lakehouses
-
Learn techniques to load data into Fabric lakehouses as files or Delta tables
-
Understand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flows
-
Design and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQL
-
Apply the principles of the medallion architecture within the Fabric environment for effective data management
-
Analyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilities
-
Configure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data frames
-
Understand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformations
-
Differentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL.
Who Should Attend
The primary audience for this course is data professionals with experience in data modeling and analytics. DP-600 is designed for professionals who want to use Microsoft Fabric to create and deploy enterprise-scale data analytics solutions. Learners should have prior experience with one of the following programming languages: Structured Query Language (SQL), Kusto Query Language (KQL), or Data Analysis Expressions (DAX).
Prerequisites
- Strong data modeling skills and a solid background in Power BI.
Course outline
Introduction to end-to-end analytics using Microsoft Fabric
Get started with lakehouses in Microsoft Fabric
Use Apache Spark in Microsoft Fabric
Work with Delta Lake tables in Microsoft Fabric
Orchestrate processes and data movement with Microsoft Fabric
Ingest Data with Dataflows Gen2 in Microsoft Fabric
Get started with data warehouses in Microsoft Fabric
Get started with Real-Time Intelligence in Microsoft Fabric
Get started with data science in Microsoft Fabric
Administer a Microsoft Fabric environment
Introduction to end-to-end analytics using Microsoft Fabric
Get started with data warehouses in Microsoft Fabric
Load data into a Microsoft Fabric data warehouse
Query a data warehouse in Microsoft Fabric
Monitor a Microsoft Fabric data warehouse
Secure a Microsoft Fabric data warehouse
Create DAX calculations in semantic models
Design scalable semantic models
Optimize a model for performance in Power BI
Create and manage Power BI assets
Enforce Power BI model security
Administer a Microsoft Fabric environment
Secure data access in Microsoft Fabric
Secure a Microsoft Fabric data warehouse
Govern data in Microsoft Fabric with Purview
