Data Mesh: Delivering Data-Driven Value at Scale

Tình trạng: Còn hàng

Tác giả: O'Reilly Media

Loại: Programming

Data Mesh book is written for people with a diverse set of roles and skill sets. Data mesh is a paradigm shift, and it needs the collective effort of many complementary roles and disciplines to make it a reality for any organization, from architects, practitioners and infrastructure engineers to product managers, data leaders, and executives.

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Mô tả

📚📚 I. THÔNG TIN SẢN PHẨM
📒 Mã sản phẩm : STT680
📒 Nhà xuất bản : O'Reilly Media; 1st edition (April 12, 2022)
📒 Tác giả : Zhamak Dehghani
📒 Ngôn ngữ : Tiếng Anh
📒 Số trang : 384 trang
📒 Hình thức : Bìa Mềm, IN ĐEN TRẮNG
📒 Loại : Sách gia công đóng gáy keo chắc chắn chất lượng cao
📒 Giấy in : Giấy ngoại định lượng 70msg, viết vẽ và hightlight thoải mái.
📒 Chất lượng : Bản in rõ nét, giá rất tốt cho mọi người.

📚📚 II. MÔ TẢ SẢN PHẨM
📚 1. MÔ TẢ SẢN PHẨM
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

📒 2. Tác giả
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.