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Beginning Microsoft Power BI - Dan Clark

Beginning Microsoft Power BI

A Practical Guide to Self-Service Data Analytics

(Autor)

Buch | Softcover
411 Seiten
2020 | 3rd ed.
Apress (Verlag)
978-1-4842-5619-0 (ISBN)
CHF 82,35 inkl. MwSt
Analyze company data quickly and easily using Microsoft’s powerful data tools. Learn to build scalable and robust data models, clean and combine different data sources effectively, and create compelling and professional visuals.



Beginning Power BI is a hands-on, activity-based guide that takes you through the process of analyzing your data using the tools that that encompass the core of Microsoft’s self-service BI offering. Starting with Power Query, you will learn how to get data from a variety of sources, and see just how easy it is to clean and shape the data prior to importing it into a data model. Using Power BI tabular and the Data Analysis Expressions (DAX), you will learn to create robust scalable data models which will serve as the foundation of your data analysis. From there you will enter the world of compelling interactive visualizations to analyze and gain insight into your data. You will wrap up your Power BI journey by learning how to package and share your reports and dashboards with your colleagues.



Author Dan Clark takes you through each topic using step-by-step activities and plenty of screen shots to help familiarize you with the tools. This third edition covers the new and evolving features in the Power BI platform and new chapters on data flows and composite models. This book is your hands-on guide to quick, reliable, and valuable data insight.






What You Will Learn



Simplify data discovery, association, and cleansing
Build solid analytical data models
Create robust interactive data presentations
Combine analytical and geographic data in map-based visualizations
Publish and share dashboards and reports


Who This Book Is For



Business analysts, database administrators, developers, and other professionals looking to better understand and communicate with data

Dan Clark is a senior business intelligence (BI) and programming consultant specializing in Microsoft technologies. He is focused on learning new BI and data technologies and training others  on how to best implement the technology. Dan has published several books and numerous articles on .NET programming and BI development. He is a regular speaker at various developer and database conferences and user group meetings and enjoys interacting with the Microsoft communities. In a previous life, Dan was a physics teacher. He is still inspired by the wonder and awe of studying the universe and figuring out why things behave the way they do. 

Chapter 1: Introducing Power BI.- Chapter 2: Importing Data into Power BI Desktop.- Chapter 3: Data Munging with Power Query.- Chapter 4: Creating the Data Model.- Chapter 5: Creating Calculations with DAX.- Chapter 6: Creating Measures with DAX.- Chapter 7: Incorporating Time Intelligence.- Chapter 8: Creating Reports with Power BI Desktop.- Chapter 9: Publishing Reports and Creating Dashboards in the Power BI Portal.- Chapter 10: Introducing Power Pivot in Excel. Chapter 11: Data Analysis with Pivot Tables and Charts.- Chapter 12: Creating a Complete Solution.- Chapter 13: Advanced Topics in Power Query.- Chapter 14: Advanced Topics in Power BI Desktop.- Chapter 15: Advanced Topics in Power BI Data Modeling.

Erscheinungsdatum
Zusatzinfo 392 Illustrations, black and white; XV, 411 p. 392 illus.
Verlagsort Berkley
Sprache englisch
Maße 178 x 254 mm
Themenwelt Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Informatik Software Entwicklung
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
Schlagworte Analytical Data Models • Business Intelligence • Data Analysis • Data Analysis Expressions • DAX • Microsoft • Microsoft Power Bi • Power BI • Power BI tabular • Power Map • Power Pivot • Power Query • Power View • Self service data analytics
ISBN-10 1-4842-5619-0 / 1484256190
ISBN-13 978-1-4842-5619-0 / 9781484256190
Zustand Neuware
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