國立虎尾科技大學 |

Beginning Microsoft Power BI = A Practical Guide to Self-Service Data Analytics /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Beginning Microsoft Power BI/ by Dan Clark.
其他題名:	A Practical Guide to Self-Service Data Analytics /
作者:	Clark, Dan.
面頁冊數:	XV, 411 p. 392 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Big Data/Analytics. -
電子資源:	https://doi.org/10.1007/978-1-4842-5620-6
ISBN:	9781484256206

Beginning Microsoft Power BI = A Practical Guide to Self-Service Data Analytics /
Clark, Dan.

Beginning Microsoft Power BIA Practical Guide to Self-Service Data Analytics /[electronic resource] :by Dan Clark. - 3rd ed. 2020. - XV, 411 p. 392 illus.online resource.

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.

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 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. .

ISBN: 9781484256206

Standard No.: 10.1007/978-1-4842-5620-6doiSubjects--Topical Terms:

1106909
Big Data/Analytics.

LC Class. No.: QA76.76.M52

Dewey Class. No.: 004.165

Beginning Microsoft Power BI = A Practical Guide to Self-Service Data Analytics /
LDR:04390nam a22003975i 4500 001 1019449
003 DE-He213
005 20201110140238.0
007 cr nn 008mamaa
008 210318s2020 xxu| s |||| 0|eng d
020 $a 9781484256206 $9 978-1-4842-5620-6
024 7 $a 10.1007/978-1-4842-5620-6 $2 doi
035 $a 978-1-4842-5620-6
050 4 $a QA76.76.M52
072 7 $a UMP $2 bicssc
072 7 $a COM051380 $2 bisacsh
072 7 $a UMP $2 thema
082 0 4 $a 004.165 $2 23
100 1 $a Clark, Dan. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 796802
245 1 0 $a Beginning Microsoft Power BI $h [electronic resource] : $b A Practical Guide to Self-Service Data Analytics / $c by Dan Clark.
250 $a 3rd ed. 2020.
264 1 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2020.
300 $a XV, 411 p. 392 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a 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.
520 $a 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 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. .
650 2 4 $a Big Data/Analytics. $3 1106909
650 1 4 $a Microsoft and .NET. $3 1114109
650 0 $a Big data. $3 981821
650 0 $a Microsoft .NET Framework. $3 565417
650 0 $a Microsoft software. $3 1253736
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9781484256190
776 0 8 $i Printed edition: $z 9781484256213
776 0 8 $i Printed edition: $z 9781484267196
856 4 0 $u https://doi.org/10.1007/978-1-4842-5620-6
912 $a ZDB-2-CWD
912 $a ZDB-2-SXPC
950 $a Professional and Applied Computing (SpringerNature-12059)
950 $a Professional and Applied Computing (R0) (SpringerNature-43716)