finelybook
Microsoft Power BI Cookbook: Gain expertise in Power BI with over 90 hands-on recipes,tips,and use cases,2nd Edition
Author: Greg Deckler and Brett Powell
Publisher Finelybook 出版社: Packt Publishing; 2nd edition (September 30,2021)
Language 语言: English
pages 页数: 654 pages
ISBN-10 书号: 1801813043
ISBN-13 书号: 9781801813044
Book Description
Build effective analytical data models,reports,and dashboards using the advanced features of Power BI
Key Features
Updated with new recipes on query optimization,aggregation tables,Power BI API,and paginated reports
Work with recipes across diverse Power BI platforms including the Power BI Service and Mobile Applications
Implement custom solutions with M and DAX languages through actionable guidance and proven development techniques
Microsoft Power BI is a leading business intelligence and data analytics platform that provides tools and services for deriving insights from data. With revised practical recipes,Microsoft Power BI Cookbook,Second Edition helps you navigate Power BI tools and their advanced features. It also demonstrates the use of end-to-end solutions that integrate those features to get the most out of Power BI. This cookbook provides advanced design and development tips,and guidance on enhancing existing Power BI projects.
The updated edition enables you to implement evergreen frameworks that will stay relevant as Power BI updates. Get familiar with Power BI development tools and services Author: going deep into the data connectivity,transformation,modeling,visualization,and analytical capabilities of Power BI. Microsoft Power BI Cookbook,Second Edition enables Power BI’s functional programming languages of DAX and M to come alive to deliver powerful solutions to common business intelligence challenges.
What you will learn
Cleanse,stage,and integrate your data sources with Power Query (M)
Remove data complexities and provide users with intuitive,self-service BI capabilities
Build business logic and analysis into your solutions via the DAX programming language and dashboard-ready calculations
Implement aggregation tables to accelerate query performance over large data sources
Create and integrate paginated reports
Understand the differences and implications of DirectQuery,Live Connections,Import,and Composite model datasets
Integrate other Microsoft data tools into your Power BI solution
