Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Data Mashup with Microsoft Excel Usi...
~
SpringerLink (Online service)
Data Mashup with Microsoft Excel Using Power Query and M = Finding, Transforming, and Loading Data from External Sources /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Data Mashup with Microsoft Excel Using Power Query and M/ by Adam Aspin.
Reminder of title:
Finding, Transforming, and Loading Data from External Sources /
Author:
Aspin, Adam.
Description:
XXIV, 388 p. 237 illus.online resource. :
Contained By:
Springer Nature eBook
Subject:
Microsoft software. -
Online resource:
https://doi.org/10.1007/978-1-4842-6018-0
ISBN:
9781484260180
Data Mashup with Microsoft Excel Using Power Query and M = Finding, Transforming, and Loading Data from External Sources /
Aspin, Adam.
Data Mashup with Microsoft Excel Using Power Query and M
Finding, Transforming, and Loading Data from External Sources /[electronic resource] :by Adam Aspin. - 1st ed. 2020. - XXIV, 388 p. 237 illus.online resource.
1. Using Power Query to Discover and Load Data into Excel -- 2. Discovering and Loading File-Based Data with Power Query -- 3. Loading Data from Databases and Data Warehouses -- 4. Loading Data from the Web and the Cloud -- 5. Generic Data Sources -- 6. Structuring Imported Data -- 7. Data Transformation -- 8. Restructuring Data -- 9. Complex Data Loads -- 10. Organizing and Managing Queries -- 11. Parameterizing Queries -- 12. The M Language -- 13. Appendix A: Sample Data.
Master the art of loading external data into Excel for use in reporting, charting, dashboarding, and business intelligence. This book provides a complete and thorough explanation of Microsoft Excel’s Get and Transform feature set, showing you how to connect to a range of external databases and other data sources to find data and pull that data into your local spreadsheet for further analysis. Leading databases are covered, including Microsoft Azure data sources and web sources, and you will learn how to access those sources from your Microsoft Excel spreadsheets. Getting data into Excel is a prerequisite for using Excel's analytics capabilities. This book takes you beyond copying and pasting by showing you how to connect to your corporate databases that are hosted in the Azure cloud, and how to pull data from Oracle Database and SQL Server, and other sources. Accessing data is only half the problem, and the other half involves cleansing and rearranging your data to make it useful in spreadsheet form. Author Adam Aspin shows you how to create datasets and transformations. For advanced problems, there is help on the M language that is built into Excel, specifically to support mashing up data in support of business intelligence and analysis. If you are an Excel user, you won't want to be without this book that teaches you to extract and prepare external data ready for use in what is arguably the world’s leading analytics tool. You will: Connect to a range of external data, from databases to Azure sources Ingest data directly into your spreadsheets, or into PowerPivot data models Cleanse and prepare external data so it can be used inside Excel Refresh data quickly and easily to always have the latest information Transform data into ready-to-use structures that fit the spreadsheet format Execute M language functions for complex data transformations.
ISBN: 9781484260180
Standard No.: 10.1007/978-1-4842-6018-0doiSubjects--Topical Terms:
1253736
Microsoft software.
LC Class. No.: QA76.76.M52
Dewey Class. No.: 004.165
Data Mashup with Microsoft Excel Using Power Query and M = Finding, Transforming, and Loading Data from External Sources /
LDR
:03715nam a22003855i 4500
001
1023064
003
DE-He213
005
20200716142146.0
007
cr nn 008mamaa
008
210318s2020 xxu| s |||| 0|eng d
020
$a
9781484260180
$9
978-1-4842-6018-0
024
7
$a
10.1007/978-1-4842-6018-0
$2
doi
035
$a
978-1-4842-6018-0
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
Aspin, Adam.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
881782
245
1 0
$a
Data Mashup with Microsoft Excel Using Power Query and M
$h
[electronic resource] :
$b
Finding, Transforming, and Loading Data from External Sources /
$c
by Adam Aspin.
250
$a
1st ed. 2020.
264
1
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2020.
300
$a
XXIV, 388 p. 237 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
1. Using Power Query to Discover and Load Data into Excel -- 2. Discovering and Loading File-Based Data with Power Query -- 3. Loading Data from Databases and Data Warehouses -- 4. Loading Data from the Web and the Cloud -- 5. Generic Data Sources -- 6. Structuring Imported Data -- 7. Data Transformation -- 8. Restructuring Data -- 9. Complex Data Loads -- 10. Organizing and Managing Queries -- 11. Parameterizing Queries -- 12. The M Language -- 13. Appendix A: Sample Data.
520
$a
Master the art of loading external data into Excel for use in reporting, charting, dashboarding, and business intelligence. This book provides a complete and thorough explanation of Microsoft Excel’s Get and Transform feature set, showing you how to connect to a range of external databases and other data sources to find data and pull that data into your local spreadsheet for further analysis. Leading databases are covered, including Microsoft Azure data sources and web sources, and you will learn how to access those sources from your Microsoft Excel spreadsheets. Getting data into Excel is a prerequisite for using Excel's analytics capabilities. This book takes you beyond copying and pasting by showing you how to connect to your corporate databases that are hosted in the Azure cloud, and how to pull data from Oracle Database and SQL Server, and other sources. Accessing data is only half the problem, and the other half involves cleansing and rearranging your data to make it useful in spreadsheet form. Author Adam Aspin shows you how to create datasets and transformations. For advanced problems, there is help on the M language that is built into Excel, specifically to support mashing up data in support of business intelligence and analysis. If you are an Excel user, you won't want to be without this book that teaches you to extract and prepare external data ready for use in what is arguably the world’s leading analytics tool. You will: Connect to a range of external data, from databases to Azure sources Ingest data directly into your spreadsheets, or into PowerPivot data models Cleanse and prepare external data so it can be used inside Excel Refresh data quickly and easily to always have the latest information Transform data into ready-to-use structures that fit the spreadsheet format Execute M language functions for complex data transformations.
650
0
$a
Microsoft software.
$3
1253736
650
0
$a
Microsoft .NET Framework.
$3
565417
650
1 4
$a
Microsoft and .NET.
$3
1114109
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9781484260173
776
0 8
$i
Printed edition:
$z
9781484260197
856
4 0
$u
https://doi.org/10.1007/978-1-4842-6018-0
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)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login