|Kindle 価格:|| ￥9,013 |
Data Mesh (English Edition) Kindle版
We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, author Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale.
Dehghani guides practitioners, architects, technical leaders, and decision makers on their journey from traditional big data architecture to a distributed and multidimensional approach to analytical data management. Data mesh treats data as a product, considers domains as a primary concern, applies platform thinking to create self-serve data infrastructure, and introduces a federated computational model of data governance.
- Get a complete introduction to data mesh principles and its constituents
- Design a data mesh architecture
- Guide a data mesh strategy and execution
- Navigate organizational design to a decentralized data ownership model
- Move beyond traditional data warehouses and lakes to a distributed data mesh
Zhamak Dehghani is a director of technology at ThoughtWorks, focusing on distributed systems architecture --- big data and operational systems -- in the enterprise. She’s a member of the company’s Technology Advisory Board and contributes to the creation of ThoughtWorks’s Technology Radar. She is an advocate for decentralization of all things - architecture, data and ultimately power. She is the founder of data mesh.--このテキストは、paperback版に関連付けられています。
- ASIN : B09V4KWWJ8
- 出版社 : O'Reilly Media; 第1版 (2022/3/8)
- 発売日 : 2022/3/8
- 言語 : 英語
- ファイルサイズ : 16987 KB
- 同時に利用できる端末数 : 無制限
- Text-to-Speech（テキスト読み上げ機能） : 有効
- X-Ray : 有効にされていません
- Word Wise : 有効にされていません
- 本の長さ : 621ページ
- Amazon 売れ筋ランキング: - 9,736位洋書 (の売れ筋ランキングを見る洋書)
At last, we have a disruptive and sound approach that makes sense in today's fast-paced world, and that may fulfil the needs of a truly agile and data driven organization. Domain Ownership, Data as a Product, Self-Service Data Platform, and Federated Computational Governance principles are the way forward for complex, data driven companies that are willing to take the lead and innovate.