Data warehousing in the age of big data
The book is presented in three distinct parts. Part 1 discusses Big Data, its technologies and use cases from early adopters. Part 2 addresses data warehousing, its shortcomings, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals wit...
Сохранить в:
| Главный автор: | |
|---|---|
| Другие авторы: | |
| Язык: | Undetermined English |
| Опубликовано: |
Amsterdam
Morgan Kaufmann is an imprint of Elsevier
2013
|
| Предметы: | |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|
| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Trà Vinh |
|---|
| Итог: | The book is presented in three distinct parts. Part 1 discusses Big Data, its technologies and use cases from early adopters. Part 2 addresses data warehousing, its shortcomings, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals with data governance, data visualization, information life-cycle management, data scientists, and implementing a Big Data-ready data warehouse. Extensive appendixes include case studies from vendor implementations and a special segment on how we can build a healthcare information factory |
|---|---|
| Объем: | xxiii, 346 p. ill. 24 cm |
| Библиография: | Includes bibliographical references and index |
| ISBN: | 0124058914 9780124058910 |