Prepare for Microsoft Exam 70-778â and help demonstrate your real-world mastery of Power BI data analysis and visualization. Designed for experienced BI professionals and data analysts ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level.
Prepare for Microsoft Exam 70-778â and help demonstrate your real-world mastery of Power BI data analysis and visualization. Designed for experienced BI professionals and data analysts ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Daniil Maslyuk (MCSA: BI Reporting; MCSE: Data Management and Analytics) is a Microsoft business intelligence consultant who specializes in Power BI, Power Query, and Power Pivot; the DAX and M languages; and SQL Server and Azure Analysis Services tabular models. Daniil blogs at xxlbi.com and tweets as @DMaslyuk.
Inhaltsangabe
Chapter 1 Consuming and transforming data by using Power BI Desktop Skill 1.1: Connect to data sources Skill 1.2: Perform transformations Skill 1.3: Cleanse data Chapter 2 Modeling and visualizing data Skill 2.1: Create and optimize data models Skill 2.2: Create calculated columns, calculated tables, and measures Skill 2.3: Measure performance by using KPIs, gauges, and cards Skill 2.4: Create hierarchies Skill 2.5: Create and format interactive visualizations Skill 2.6: Manage custom reporting solutions Chapter 3 Configure dashboards, reports, and apps in the Power BI Service Skill 3.1: Access on-premises data Skill 3.2: Configure a dashboard Skill 3.3: Publish and embed reports Skill 3.4: Configure security for dashboards, reports, and apps Skill 3.5 Configure apps and apps workspaces
Chapter 1 Consuming and transforming data by using Power BI Desktop Skill 1.1: Connect to data sources Skill 1.2: Perform transformations Skill 1.3: Cleanse data Chapter 2 Modeling and visualizing data Skill 2.1: Create and optimize data models Skill 2.2: Create calculated columns, calculated tables, and measures Skill 2.3: Measure performance by using KPIs, gauges, and cards Skill 2.4: Create hierarchies Skill 2.5: Create and format interactive visualizations Skill 2.6: Manage custom reporting solutions Chapter 3 Configure dashboards, reports, and apps in the Power BI Service Skill 3.1: Access on-premises data Skill 3.2: Configure a dashboard Skill 3.3: Publish and embed reports Skill 3.4: Configure security for dashboards, reports, and apps Skill 3.5 Configure apps and apps workspaces
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