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Timeline
X Demographics
Mendeley readers
Title |
Understanding Azure Data Factory
|
---|---|
Published by |
Apress, January 2019
|
DOI | 10.1007/978-1-4842-4122-6 |
ISBNs |
978-1-4842-4121-9, 978-1-4842-4122-6
|
Authors |
Rawat, Sudhir, Narain, Abhishek |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 30% |
Other | 3 | 13% |
Student > Ph. D. Student | 3 | 13% |
Researcher | 2 | 9% |
Student > Bachelor | 1 | 4% |
Other | 3 | 13% |
Unknown | 4 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 57% |
Business, Management and Accounting | 2 | 9% |
Mathematics | 1 | 4% |
Physics and Astronomy | 1 | 4% |
Decision Sciences | 1 | 4% |
Other | 0 | 0% |
Unknown | 5 | 22% |