Beginning Power BI
| Autor: | Dan Clark |
|---|---|
| EAN: | 9781484225776 |
| eBook Format: | |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 28.02.2017 |
| Untertitel: | A Practical Guide to Self-Service Data Analytics with Excel 2016 and Power BI Desktop |
| Kategorie: | |
| Schlagworte: | Microsoft Office Power Map Power PIvot Power Query Power View business intelligence data analysis |
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Analyze your company's data quickly and easily using Microsoft's latest tools. Build scalable and robust data models to work from. Learn to clean and combine different data sources effectively. Create compelling visualizations and share them 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 second edition includes new material on advanced uses of Power Query, along with the latest user guidance on the evolving Power BI platform. Beginning Power BI is your hands-on guide to quick, reliable, and valuable data insight.
What You Will Learn
- Simplify data discovery, association, and cleansing
- Create 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)/programming consultant specializing in Microsoft technologies. He is focused on learning new BI/data technologies and on training others 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/database conferences and user group meetings and enjoys interacting with the Microsoft developer and database communities. In a previous life, he 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.
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