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[ subject:"Query languages (Computer science)" ]
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Beginning DAX with Power BIthe SQL p...
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Seamark, Philip.
Beginning DAX with Power BIthe SQL pro's guide to better business intelligence /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Beginning DAX with Power BIby Philip Seamark.
其他題名:
the SQL pro's guide to better business intelligence /
作者:
Seamark, Philip.
出版者:
Berkeley, CA :Apress :2018.
面頁冊數:
xvii, 264 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Query languages (Computer science)
電子資源:
http://dx.doi.org/10.1007/978-1-4842-3477-8
ISBN:
9781484234778$q(electronic bk.)
Beginning DAX with Power BIthe SQL pro's guide to better business intelligence /
Seamark, Philip.
Beginning DAX with Power BI
the SQL pro's guide to better business intelligence /[electronic resource] :by Philip Seamark. - Berkeley, CA :Apress :2018. - xvii, 264 p. :ill., digital ;24 cm.
Chapter 1: Introduction to DAX -- Chapter 2: Variables -- Chapter 3: Context -- Chapter 4: Summarizing and Aggregating -- Chapter 5: Joins -- Chapter 6: Filtering -- Chapter 7: Dates -- Chapter 8: Debugging and Optimizing -- Chapter 9: Practical DAX.
Attention all SQL Pros, DAX is not just for writing Excel-based formulas! Get hands-on learning and expert advice on how to use the vast capabilities of the DAX language to solve common data modeling challenges. Beginning DAX with Power BI teaches key concepts such as mapping techniques from SQL to DAX, filtering, grouping, joining, pivoting, and using temporary tables, all aimed at the SQL professional. Join author Philip Seamark as he guides you on a journey through typical business data transformation scenarios and challenges, and teaches you, step-by-step, how to resolve challenges using DAX. Tips, tricks, and shortcuts are included and explained, along with examples of the SQL equivalent, in order to accelerate learning. Examples in the book range from beginner to advanced, with plenty of detailed explanation when walking through each scenario. What You'll Learn: Turbocharge your Power BI model by adding advanced DAX programming techniques Know when to use calculated measures versus calculated columns Generate new tables on the fly from existing data Optimize, monitor, and tune Power BI to improve performance of your models Discover new ideas, tricks, and time-saving techniques for better models This book is for business intelligence developers, business analysts, or any SQL user who wants to use Power BI as a reporting tool. A solid understanding of SQL is recommended, as examples throughout the book include the DAX equivalents to SQL problem/solution scenarios. Philip Seamark,a Senior BI architect with Trade Me and a Microsoft Data Platform MVP with more than 25 years of commercial experience delivering business applications across multiple technologies. He is an experienced database and BI professional with a deep understanding of the Microsoft stack and extensive knowledge of data warehouse (DW) methodologies and enterprise data modeling. Philip writes for the Power BI community site, and is a speaker at many industry events, Microsoft Ignite, Data Insights, Power BI User Groups, SQL Saturdays, and more.
ISBN: 9781484234778$q(electronic bk.)
Standard No.: 10.1007/978-1-4842-3477-8doiSubjects--Topical Terms:
295932
Query languages (Computer science)
LC Class. No.: QA76.7
Dewey Class. No.: 005.74
Beginning DAX with Power BIthe SQL pro's guide to better business intelligence /
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Chapter 1: Introduction to DAX -- Chapter 2: Variables -- Chapter 3: Context -- Chapter 4: Summarizing and Aggregating -- Chapter 5: Joins -- Chapter 6: Filtering -- Chapter 7: Dates -- Chapter 8: Debugging and Optimizing -- Chapter 9: Practical DAX.
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Attention all SQL Pros, DAX is not just for writing Excel-based formulas! Get hands-on learning and expert advice on how to use the vast capabilities of the DAX language to solve common data modeling challenges. Beginning DAX with Power BI teaches key concepts such as mapping techniques from SQL to DAX, filtering, grouping, joining, pivoting, and using temporary tables, all aimed at the SQL professional. Join author Philip Seamark as he guides you on a journey through typical business data transformation scenarios and challenges, and teaches you, step-by-step, how to resolve challenges using DAX. Tips, tricks, and shortcuts are included and explained, along with examples of the SQL equivalent, in order to accelerate learning. Examples in the book range from beginner to advanced, with plenty of detailed explanation when walking through each scenario. What You'll Learn: Turbocharge your Power BI model by adding advanced DAX programming techniques Know when to use calculated measures versus calculated columns Generate new tables on the fly from existing data Optimize, monitor, and tune Power BI to improve performance of your models Discover new ideas, tricks, and time-saving techniques for better models This book is for business intelligence developers, business analysts, or any SQL user who wants to use Power BI as a reporting tool. A solid understanding of SQL is recommended, as examples throughout the book include the DAX equivalents to SQL problem/solution scenarios. Philip Seamark,a Senior BI architect with Trade Me and a Microsoft Data Platform MVP with more than 25 years of commercial experience delivering business applications across multiple technologies. He is an experienced database and BI professional with a deep understanding of the Microsoft stack and extensive knowledge of data warehouse (DW) methodologies and enterprise data modeling. Philip writes for the Power BI community site, and is a speaker at many industry events, Microsoft Ignite, Data Insights, Power BI User Groups, SQL Saturdays, and more.
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