Daikibo dēta kanri: entāpuraizu ākitekucha no besuto purakutisu / = Data management at scale :
大規模データ管理 : エンタープライズアーキテクチャのベストプラクティス /
"As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you'll...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Electronic eBook |
| Language: | Japanese |
| Published: |
Tōkyō-to Shinjuku-ku
Orairī Japan
2022
|
| Edition: | Shohan. |
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9784814400089/?ar |
| Summary: | "As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you'll learnhow to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption. Executives, data architects, analytics teams, and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture, which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including technological developments, regulatory requirements, and privacy concerns Go deep into the Scaled Architecture and learn how the pieces fit together Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata." -- |
| Item Description: | Includes bibiographical references |
| Physical Description: | 1 Online-Ressource (372 Seiten) |
| ISBN: | 9784814400089 481440008X |
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| spelling | Strengholt, Piethein VerfasserIn aut Data management at scale 880-01 Daikibo dēta kanri entāpuraizu ākitekucha no besuto purakutisu / = Data management at scale : Piethein Strengholt cho ; Murakami Retsu yaku = Data management at scale : best practices for enterprise architecture / Piethein Strengholt Data management at scale : 880-02 Shohan. 880-03 Tōkyō-to Shinjuku-ku Orairī Japan 2022 1 Online-Ressource (372 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibiographical references "As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you'll learnhow to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption. Executives, data architects, analytics teams, and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture, which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including technological developments, regulatory requirements, and privacy concerns Go deep into the Scaled Architecture and learn how the pieces fit together Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata." -- In Japanese. Database management Electronic data processing Management Information technology Management Bases de données ; Gestion Technologie de l'information ; Gestion Electronic data processing ; Management Information technology ; Management Murakami, Retsu ÜbersetzerIn trl 245-01/Chin 大規模データ管理 : エンタープライズアーキテクチャのベストプラクティス / Piethein Strengholt著 ; 村上列訳 = Data management at scale : best practices for enterprise architecture / Piethein Strengholt. 250-02/Chin 初版. 264-03/Chin 東京都新宿区 オライリー・ジャパン 2022 |
| spellingShingle | Strengholt, Piethein Daikibo dēta kanri entāpuraizu ākitekucha no besuto purakutisu / = Data management at scale : Database management Electronic data processing Management Information technology Management Bases de données ; Gestion Technologie de l'information ; Gestion Electronic data processing ; Management Information technology ; Management |
| title | Daikibo dēta kanri entāpuraizu ākitekucha no besuto purakutisu / = Data management at scale : |
| title_alt | Data management at scale Data management at scale : |
| title_auth | Daikibo dēta kanri entāpuraizu ākitekucha no besuto purakutisu / = Data management at scale : |
| title_exact_search | Daikibo dēta kanri entāpuraizu ākitekucha no besuto purakutisu / = Data management at scale : |
| title_full | Daikibo dēta kanri entāpuraizu ākitekucha no besuto purakutisu / = Data management at scale : Piethein Strengholt cho ; Murakami Retsu yaku = Data management at scale : best practices for enterprise architecture / Piethein Strengholt |
| title_fullStr | Daikibo dēta kanri entāpuraizu ākitekucha no besuto purakutisu / = Data management at scale : Piethein Strengholt cho ; Murakami Retsu yaku = Data management at scale : best practices for enterprise architecture / Piethein Strengholt |
| title_full_unstemmed | Daikibo dēta kanri entāpuraizu ākitekucha no besuto purakutisu / = Data management at scale : Piethein Strengholt cho ; Murakami Retsu yaku = Data management at scale : best practices for enterprise architecture / Piethein Strengholt |
| title_short | Daikibo dēta kanri |
| title_sort | daikibo deta kanri entapuraizu akitekucha no besuto purakutisu data management at scale |
| title_sub | entāpuraizu ākitekucha no besuto purakutisu / = Data management at scale : |
| topic | Database management Electronic data processing Management Information technology Management Bases de données ; Gestion Technologie de l'information ; Gestion Electronic data processing ; Management Information technology ; Management |
| topic_facet | Database management Electronic data processing Management Information technology Management Bases de données ; Gestion Technologie de l'information ; Gestion Electronic data processing ; Management Information technology ; Management |
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