1.

Record Nr.

UNINA9910254926203321

Autore

Clark Dan

Titolo

Beginning Power BI [[electronic resource] ] : A Practical Guide to Self-Service Data Analytics with Excel 2016 and Power BI Desktop / / by Dan Clark

Pubbl/distr/stampa

Berkeley, CA : , : Apress : , : Imprint : Apress, , 2017

Edizione

[2nd ed. 2017.]

Descrizione fisica

1 online resource (XVII, 348 p. 380 illus., 370 illus. in color.)

Disciplina

658.4038

Soggetti

Big data

Knowledge management

Computers

Big Data/Analytics

Knowledge Management

Information Systems and Communication Service

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.

Nota di contenuto

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

Sommario/riassunto

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.