Exam Ref 70-778 Analyzing and Visualizing Data with Microsoft Power BI
1st Edition
Published on 7. June 2018
368 pages
978-0-13-485779-4 (ISBN)
Description
Prepare for Microsoft Exam 70-778-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.
Focus on the expertise measured by these objectives:
Consume and transform data by using Power BI Desktop
Model and visualize data
Configure dashboards, reports, and apps in the Power BI Service
This Microsoft Exam Ref:
Organizes its coverage by exam objectives
Features strategic, what-if scenarios to challenge you
Assumes you have experience consuming and transforming data, modeling and visualizing data, and configuring dashboards using Excel and Power BI
Focus on the expertise measured by these objectives:
Consume and transform data by using Power BI Desktop
Model and visualize data
Configure dashboards, reports, and apps in the Power BI Service
This Microsoft Exam Ref:
Organizes its coverage by exam objectives
Features strategic, what-if scenarios to challenge you
Assumes you have experience consuming and transforming data, modeling and visualizing data, and configuring dashboards using Excel and Power BI
More details
Series
Language
English
Place of publication
Boston
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
ISBN-13
978-0-13-485779-4 (9780134857794)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
09/2018
Microsoft Press
€37.50
Shipment within 3-4 weeks
Person
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.
Content
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
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
