Power Bi Data Modeling
Power Bi Data Modeling
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分類：英文書＞自然科普＞電腦資訊＞資料庫追蹤? 追蹤分類後，您會在第一時間收到分類新品通知。
- 作者： Nisal,Mihiranga 追蹤 ? 追蹤作者後，您會在第一時間收到作者新書通知。
- 出版社： Bpb Publications 追蹤 ? 追蹤出版社後，您會在第一時間收到出版社新書通知。
- 出版日：2022/03/23
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內容簡介
Build Power BI Models Efficiently and EffectivelyKey FeaturesExtensive examples illustrating Power BI and data modeling concepts.Includes graphical images and explanations of using Power BI.Numerous hands-on practical examples are teaching best practices in predictive modeling.DescriptionCreating data models has never been straightforward. This book demonstrates how to formulate a complete business analytics model that combines several data sources, executes numerous computations, and scales across hundreds of BI users.To begin, you'll learn about the Microsoft Power BI ecosystem by downloading the Power BI desktop and exploring all of its features and capabilities. Through examples, you'll learn how to connect to databases of Excel; and SQL Server, shaping the data with Power Query, and then transforming the data into actionable information. You will gain knowledge of the DAX language by exploring it, writing DAX functions, and creating hierarchies. You will be trained to develop effective business intelligence models by studying numerous data modeling topics.You get to put professionals' best practices to the test when handling large data scenarios and executing analytics on top of them. Additionally, the book discusses how to scale Power BI while considering its storage, memory, and security requirements. You'll see that several new topics have been included, including performance tuning, DAX Studio, sharing Power BI reports, and publishing reports to Sharepoint online.What you will learnConduct profiling, cleansing, and transformation of data.Build data models, aggregate data, and create hierarchies.Practice DAX language, write calculations, and execute them.Utilize advanced features including AI visualizations and performance analyzer.Examine various connection types and connect data from different sources.Enhance performance by boosting storage and memory.Who this book is forThis book is intended for data analysts, business analysts, and any other business user who are interested in learning how to develop data models using Power BI from beginning to end. To follow this book and master Power BI, a basic understanding of data visualization would be sufficient.Table of Contents1. Introduction to Microsoft Power BI2. Microsoft Power BI Eco-system3. Getting Started with Power BI and Connect with Data4. My first Power BI Report5. Intro to BI Building Blocks & Dimensional Mod Concepts6. Get Data from Relational Databases7. Cleansing, Blending and Transform Data using Power Query8. Build Relationships9. Introduction to DAX and Calculated Columns, Cal Measures & Hierarchies10. Create Insightful Visuals11. Row-level Security12. Calculation Groups in Power BI13. Self-service AI in Power BI14. Incremental Refresh for Scalable Models15. Composite Models & Implement Aggregations to Improve query performance16. Self-service Data Prep for Any Data17. Optimize DAX18. Collaborate Your Power BI Workload19. Performance Tuning via optimizing Storage and MemoryRead more
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