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024 7 $a10.1007/978-1-4842-2577-6
035   $a(CKB)3710000001084293
035   $a(DE-He213)978-1-4842-2577-6
035   $a(MiAaPQ)EBC4815394
035   $a(CaSebORM)9781484225776
035   $a(PPN)222239514
035   $a(EXLCZ)993710000001084293
100   $a20170301d2017      u|             0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aBeginning Power BI$b[electronic resource] $eA Practical Guide to Self-Service Data Analytics with Excel 2016 and Power BI Desktop /$fby Dan Clark
205   $a2nd ed. 2017.
210  1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2017.
215   $a1 online resource (XVII, 348 p. 380 illus., 370 illus. in color.) 
300   $aIncludes index.
311   $a1-4842-2577-5 
311   $a1-4842-2576-7 
327   $aPart 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.
330   $aAnalyze 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.
606   $aBig data
606   $aKnowledge management
606   $aComputers
606   $aBig Data/Analytics$3https://scigraph.springernature.com/ontologies/product-market-codes/522070
606   $aKnowledge Management$3https://scigraph.springernature.com/ontologies/product-market-codes/515030
606   $aInformation Systems and Communication Service$3https://scigraph.springernature.com/ontologies/product-market-codes/I18008
615  0$aBig data.
615  0$aKnowledge management.
615  0$aComputers.
615 14$aBig Data/Analytics.
615 24$aKnowledge Management.
615 24$aInformation Systems and Communication Service.
676   $a658.4038
700   $aClark$b Dan$4aut$4http://id.loc.gov/vocabulary/relators/aut$0851298
801  0$bUMI
801  1$bUMI
906   $aBOOK
912   $a9910254926203321
996   $aBeginning Power BI$92156572
997   $aUNINA