語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Beginning DAX with Power BI = the SQ...
~
Seamark, Philip.
FindBook
Google Book
Amazon
博客來
Beginning DAX with Power BI = the 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 BI/ by 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.
內容註:
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.
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
Beginning DAX with Power BI = the 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
Standard No.: 10.1007/978-1-4842-3477-8doiSubjects--Topical Terms:
839804
Query languages (Computer science)
LC Class. No.: QA76.7
Dewey Class. No.: 005.74
Beginning DAX with Power BI = the SQL pro's guide to better business intelligence /
LDR
:03213nmm a2200289 a 4500
001
2137283
003
DE-He213
005
20180331093050.0
006
m d
007
cr nn 008maaau
008
181117s2018 cau s 0 eng d
020
$a
9781484234778
$q
(electronic bk.)
020
$a
9781484234761
$q
(paper)
024
7
$a
10.1007/978-1-4842-3477-8
$2
doi
035
$a
978-1-4842-3477-8
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.7
082
0 4
$a
005.74
$2
23
090
$a
QA76.7
$b
.S438 2018
100
1
$a
Seamark, Philip.
$3
3309472
245
1 0
$a
Beginning DAX with Power BI
$h
[electronic resource] :
$b
the SQL pro's guide to better business intelligence /
$c
by Philip Seamark.
260
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2018.
300
$a
xvii, 264 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
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.
520
$a
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.
650
0
$a
Query languages (Computer science)
$3
839804
650
0
$a
Business
$x
Data processing.
$3
527441
650
1 4
$a
Computer Science.
$3
626642
650
2 4
$a
Microsoft and .NET.
$3
3134847
650
2 4
$a
Big Data/Analytics.
$3
2186785
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-1-4842-3477-8
950
$a
Professional and Applied Computing (Springer-12059)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9343977
電子資源
11.線上閱覽_V
電子書
EB QA76.7
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入
(1)帳號:一般為「身分證號」;外籍生或交換生則為「學號」。 (2)密碼:預設為帳號末四碼。
帳號
.
密碼
.
請在此電腦上記得個人資料
取消
忘記密碼? (請注意!您必須已在系統登記E-mail信箱方能使用。)