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000928929 020__ $$a9781484256206$$q(electronic book)
000928929 020__ $$a1484256204$$q(electronic book)
000928929 020__ $$z9781484256190
000928929 0248_ $$a10.1007/978-1-4842-5
000928929 035__ $$aSP(OCoLC)on1142307611
000928929 035__ $$aSP(OCoLC)1142307611
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000928929 049__ $$aISEA
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000928929 1001_ $$aClark, Dan.
000928929 24510 $$aBeginning Microsoft Power BI :$$bA Practical Guide to Self-Service Data Analytics /$$cby Dan Clark.
000928929 250__ $$a3rd ed. 2020.
000928929 264_1 $$aBerkeley, CA :$$bAPress,$$c2020.
000928929 300__ $$a1 online resource (xv, 411 pages) :$$billustrations.
000928929 336__ $$atext$$btxt$$2rdacontent
000928929 337__ $$acomputer$$bc$$2rdamedia
000928929 338__ $$aonline resource$$bcr$$2rdacarrier
000928929 5050_ $$aChapter 1: Introducing Power BI -- Chapter 2: Importing Data into Power BI Desktop -- Chapter 3: Data Munging with Power Query -- Chapter 4: Creating the Data Model -- Chapter 5: Creating Calculations with DAX -- Chapter 6: Creating Measures with DAX -- Chapter 7: Incorporating Time Intelligence -- Chapter 8: Creating Reports with Power BI Desktop -- Chapter 9: Publishing Reports and Creating Dashboards in the Power BI Portal -- Chapter 10: Introducing Power Pivot in Excel. Chapter 11: Data Analysis with Pivot Tables and Charts -- Chapter 12: Creating a Complete Solution -- Chapter 13: Advanced Topics in Power Query -- Chapter 14: Advanced Topics in Power BI Desktop -- Chapter 15: Advanced Topics in Power BI Data Modeling.
000928929 506__ $$aAccess limited to authorized users.
000928929 520__ $$aAnalyze company data quickly and easily using Microsofts 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 Microsofts 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 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 spea ker 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.
000928929 63000 $$aMicrosoft Power BI (Computer file)
000928929 650_0 $$aBusiness intelligence$$xComputer programs.
000928929 650_0 $$aInformation visualization$$xComputer programs.
000928929 650_0 $$aBusiness$$xData processing.
000928929 650_0 $$aVisual analytics.
000928929 852__ $$bebk
000928929 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-1-4842-5620-6$$zOnline Access$$91397441.1
000928929 909CO $$ooai:library.usi.edu:928929$$pGLOBAL_SET
000928929 980__ $$aEBOOK
000928929 980__ $$aBIB
000928929 982__ $$aEbook
000928929 983__ $$aOnline
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