Developing High Quality Data Models
A multitude of problems is likely to arise when developing data models. With dozens of attributes and millions of rows, data modelers are always in danger of inconsistency and inaccuracy. The development of the data model itself could result in difficulties presenting accurate data. The need to impr...
Đã lưu trong:
| Tác giả chính: | |
|---|---|
| Định dạng: | Sách |
| Ngôn ngữ: | English |
| Được phát hành: |
Elsevier
2011
|
| Những chủ đề: | |
| Truy cập trực tuyến: | http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/26083 |
| Các nhãn: |
Thêm thẻ
Không có thẻ, Là người đầu tiên thẻ bản ghi này!
|
| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
|---|
| id |
oai:scholar.dlu.edu.vn:DLU123456789-26083 |
|---|---|
| record_format |
dspace |
| spelling |
oai:scholar.dlu.edu.vn:DLU123456789-260832012-03-03T05:09:21Z Developing High Quality Data Models West, Matthew Tin học A multitude of problems is likely to arise when developing data models. With dozens of attributes and millions of rows, data modelers are always in danger of inconsistency and inaccuracy. The development of the data model itself could result in difficulties presenting accurate data. The need to improve data models begins with getting it right in the first place. Using real-world examples, Developing High Quality Data Models walks the reader through identifying a number of data modeling principles and analysis techniques that enable the development of data models that both meet business requirements and have a consistent basis. The reader is presented with a variety of generic data model patterns that both exemplify the principles and techniques discussed and build upon one another to give a powerful and integrated generic data model. This model has wide applicability across many disciplines in government and industry, including but not limited to energy exploration, healthcare, telecommunications, transportation, military defense, transportation, and more. 2011-09-30T00:50:02Z 2011-09-30T00:50:02Z 2011 Book 978-0-12-375106-5 http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/26083 en application/pdf Elsevier |
| institution |
Thư viện Trường Đại học Đà Lạt |
| collection |
Thư viện số |
| language |
English |
| topic |
Tin học |
| spellingShingle |
Tin học West, Matthew Developing High Quality Data Models |
| description |
A multitude of problems is likely to arise when developing data models. With dozens of attributes and millions of rows, data modelers are always in danger of inconsistency and inaccuracy. The development of the data model itself could result in difficulties presenting accurate data. The need to improve data models begins with getting it right in the first place.
Using real-world examples, Developing High Quality Data Models walks the reader through identifying a number of data modeling principles and analysis techniques that enable the development of data models that both meet business requirements and have a consistent basis. The reader is presented with a variety of generic data model patterns that both exemplify the principles and techniques discussed and build upon one another to give a powerful and integrated generic data model. This model has wide applicability across many disciplines in government and industry, including but not limited to energy exploration, healthcare, telecommunications, transportation, military defense, transportation, and more. |
| format |
Book |
| author |
West, Matthew |
| author_facet |
West, Matthew |
| author_sort |
West, Matthew |
| title |
Developing High Quality Data Models |
| title_short |
Developing High Quality Data Models |
| title_full |
Developing High Quality Data Models |
| title_fullStr |
Developing High Quality Data Models |
| title_full_unstemmed |
Developing High Quality Data Models |
| title_sort |
developing high quality data models |
| publisher |
Elsevier |
| publishDate |
2011 |
| url |
http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/26083 |
| _version_ |
1757668754571919360 |