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Power BI data analysis and visualization

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Power BI data analysis and visualizationSuren Machiraju and Suraj Gaurav.
其他題名:	Power business intelligence data analysis and visualization
作者:	Machiraju, Suren.
其他作者:	Gaurav, Suraj.
出版者:	Boston ;Walter de Gruyter,c2018.
面頁冊數:	1 online resource (xxii, 265 p.)
附註:	Includes index.
標題:	Business intelligenceComputer programs.
電子資源:	https://www.degruyter.com/isbn/9781547400720
ISBN:	9781547400720$q(electronic bk. ;$qPDF)

Power BI data analysis and visualization
Machiraju, Suren.

Power BI data analysis and visualization[electronic resource] /Power business intelligence data analysis and visualization Suren Machiraju and Suraj Gaurav. - 1st ed. - Boston ;Walter de Gruyter,c2018. - 1 online resource (xxii, 265 p.)

Includes index.

Frontmatter --

Power BI Data Analysis and Visualization provides a roadmap to vendor choices and highlights why Microsoft’s Power BI is a very viable, cost effective option for data visualization. The book covers the fundamentals and most commonly used features of Power BI, but also includes an in-depth discussion of advanced Power BI features such as natural language queries; embedding Power BI dashboards; and live streaming data. It discusses real solutions to extract data from the ERP application, Microsoft Dynamics CRM, and also offers ways to host the Power BI Dashboard as an Azure application, extracting data from popular data sources like Microsoft SQL Server and open-source PostgreSQL. Authored by Microsoft experts, this book uses real-world coding samples and screenshots to spotlight how to create reports, embed them in a webpage, view them across multiple platforms, and more. Business owners, IT professionals, data scientists, and analysts will benefit from this thorough presentation of Power BI and its functions.

Mode of access: Internet via World Wide Web.

In English.

ISBN: 9781547400720$q(electronic bk. ;$qPDF)

Standard No.: 10.1515/9781547400720doiSubjects--Topical Terms:

257800
Business intelligence
--Computer programs.

LC Class. No.: T58.6 / .M33 2018

Dewey Class. No.: 658.4038011

Power BI data analysis and visualization
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260 $a Boston ; $a Berlin : $b Walter de Gruyter, $c c2018.
300 $a 1 online resource (xxii, 265 p.)
500 $a Includes index.
505 0 0 $t Frontmatter -- $t Dedication -- $t About De/G PRESS -- $t Acknowledgments -- $t About the Authors -- $t About the Technical Reviewer -- $t Foreword -- $t Contents -- $t Introduction -- $t Chapter 1: Introducing Data Visualization -- $t Chapter 2: Power BI Azure Application -- $t Chapter 3: Power BI on Microsoft Stack -- $t Chapter 4: Power BI on Open Source Stack -- $t Chapter 5: Power BI on ERP Applications -- $t Chapter 6: Conclusion -- $t Index.
520 $a Power BI Data Analysis and Visualization provides a roadmap to vendor choices and highlights why Microsoft’s Power BI is a very viable, cost effective option for data visualization. The book covers the fundamentals and most commonly used features of Power BI, but also includes an in-depth discussion of advanced Power BI features such as natural language queries; embedding Power BI dashboards; and live streaming data. It discusses real solutions to extract data from the ERP application, Microsoft Dynamics CRM, and also offers ways to host the Power BI Dashboard as an Azure application, extracting data from popular data sources like Microsoft SQL Server and open-source PostgreSQL. Authored by Microsoft experts, this book uses real-world coding samples and screenshots to spotlight how to create reports, embed them in a webpage, view them across multiple platforms, and more. Business owners, IT professionals, data scientists, and analysts will benefit from this thorough presentation of Power BI and its functions.
538 $a Mode of access: Internet via World Wide Web.
546 $a In English.
588 $a Description based on online resource; title from PDF title page (publisher's Web site, viewed 04. Okt 2022)
650 0 $a Business intelligence $x Computer programs. $3 257800
650 0 $a Management information systems. $3 199355
700 1 $a Gaurav, Suraj. $3 727075
856 4 0 $u https://www.degruyter.com/isbn/9781547400720