DP-600T00MSMicrosoftMS-DP-600T00A<p>Learners should have prior experience translating business requirements into analytical measures by using Structured Query Language (SQL) or Data Analysis Expressions (DAX). Experience building semantic models and reports in Power BI is recommended. Familiarity with Kusto Query Language (KQL) and Python is also helpful but not required.</p><p>This course is intended for data professionals with experience in data modeling, transformation, and analytics.</p><h5>Explore analytics data stores in Microsoft Fabric</h5><ul> <li>Introduction to end-to-end analytics using Microsoft Fabric</li><li>Discover and connect to data in OneLake</li><li>Get started with lakehouses in Microsoft Fabric</li><li>Get started with data warehouses in Microsoft Fabric</li><li>Get started with Real-Time Intelligence in Microsoft Fabric</li></ul><h5>Design and transform analytics data in Microsoft Fabric</h5><ul> <li>Choose data stores in Microsoft Fabric</li><li>Design dimensional models for analytics in Microsoft Fabric</li><li>Transform data using Dataflows Gen2 in Microsoft Fabric</li><li>Transform data using notebooks in Microsoft Fabric</li><li>Transform data using T-SQL in Microsoft Fabric</li></ul><h5>Design and manage semantic models in Microsoft Fabric</h5><ul> <li>Create DAX calculations in semantic models</li><li>Design semantic models for scale in Microsoft Fabric</li><li>Optimize semantic model performance</li><li>Enforce semantic model security</li><li>Manage the semantic model development lifecycle</li></ul><h5>Prepare AI-ready analytics data in Microsoft Fabric</h5><ul> <li>Prepare the semantic layer for AI in Microsoft Fabric</li><li>Understand Microsoft Fabric IQ fundamentals</li><li>Create an ontology with Fabric IQ</li></ul><h5>Secure and govern analytics data in Microsoft Fabric</h5><ul> <li>Secure data access in Microsoft Fabric</li><li>Secure a Microsoft Fabric data warehouse</li><li>Govern data in Microsoft Fabric with Purview</li><li>Govern analytics data in Microsoft Fabric</li></ul>Learners should have prior experience translating business requirements into analytical measures by using Structured Query Language (SQL) or Data Analysis Expressions (DAX). Experience building semantic models and reports in Power BI is recommended. Familiarity with Kusto Query Language (KQL) and Python is also helpful but not required.This course is intended for data professionals with experience in data modeling, transformation, and analytics.Explore analytics data stores in Microsoft Fabric - Introduction to end-to-end analytics using Microsoft Fabric - Discover and connect to data in OneLake - Get started with lakehouses in Microsoft Fabric - Get started with data warehouses in Microsoft Fabric - Get started with Real-Time Intelligence in Microsoft Fabric Design and transform analytics data in Microsoft Fabric - Choose data stores in Microsoft Fabric - Design dimensional models for analytics in Microsoft Fabric - Transform data using Dataflows Gen2 in Microsoft Fabric - Transform data using notebooks in Microsoft Fabric - Transform data using T-SQL in Microsoft Fabric Design and manage semantic models in Microsoft Fabric - Create DAX calculations in semantic models - Design semantic models for scale in Microsoft Fabric - Optimize semantic model performance - Enforce semantic model security - Manage the semantic model development lifecycle Prepare AI-ready analytics data in Microsoft Fabric - Prepare the semantic layer for AI in Microsoft Fabric - Understand Microsoft Fabric IQ fundamentals - Create an ontology with Fabric IQ Secure and govern analytics data in Microsoft Fabric - Secure data access in Microsoft Fabric - Secure a Microsoft Fabric data warehouse - Govern data in Microsoft Fabric with Purview - Govern analytics data in Microsoft Fabric4 days1690.003600.002595.002595.002690.002690.002690.001995.002610.001250.003370.002690.002850.00