數據工程基礎 影印版 9787576605518 (美)喬.里斯(Joe Reis) (美)馬特.豪斯利(Ma

*完成訂單後正常情形下約兩周可抵台。
*本賣場提供之資訊僅供參考，以到貨標的為正確資訊。
印行年月：202303*若逾兩年請先於客服中心或Line洽詢存貨情況，謝謝。
台灣(台北市)在地出版社，每筆交易均開具統一發票，祝您中獎最高1000萬元。
書名：數據工程基礎 影印版
ISBN：9787576605518
出版社：東南大學
著編譯者：(美)喬.里斯(Joe Reis) (美)馬特.豪斯利(Ma
頁數：422
所在地：中國大陸 *此為代購商品
書號：1533542
可大量預訂，請先連絡。

【台灣高等教育出版社簡體書】 數據工程基礎 影印版 787576605518 (美)喬.里斯(Joe Reis) (美)馬特.豪斯利(Ma

內容簡介

數據工程在過去十年間發展迅速，許多軟體工程師、數據科學家和分析師都在尋找相關實踐的全面觀點。通過這本實踐用書，你將學習如何通過評估數據工程生命周期框架中可用的最佳技術來規劃和構建系統，以滿足你的組織和客戶的需求。 作者Joe Reis和Matt Housley將為你介紹數據工程的生命周期，向你展示如何綜合運用各種雲技術，以滿足下游數據消費者的需求。你將理解如何應用數據生成、攝取、編排、轉換、存儲和治理的概念，無論底層技術是什麼，這些概念在任何數據環境中都至關重要。

作者簡介

喬·里斯 Joe Reis是一名「恢復中的數據科學家」，也是一名數據工程師和架構師。

目錄

Preface
Part Ⅰ Foundation and Building Blocks
1 Data Engineering Described
What Is Data Engineering?
Data Engineering Defined
The Data Engineering Lifecycle
Evolution of the Data Engineer
Data Engineering and Data Science
Data Engineering Skills and Activities
Data Maturity and the Data Engineer
The Background and Skills of a Data Engineer
Business Responsibilities
Technical Responsibilities
The Continuum of Data Engineering Roles， from A to B
Data Engineers Inside an Organization
Internal-Facing Versus External-Facing Data Engineers
Data Engineers and Other Technical Roles
Data Engineers and Business Leadership
Conclusion
Additional Resources
2 The Data Engineering Lifecycle
What Is the Data Engineering Lifecycle?
The Data Lifecycle Versus the Data Engineering Lifecycle
Generation: Source Systems
Storage
Ingestion
Transformation
Serving Data
Major Undercurrents Across the Data Engineering Lifecycle
Security
Data Management
DataOps
Data Architecture
Orchestration
Software Engineering
Conclusion
Additional Resources
3 Designing Good Data Architecture
What Is Data Architecture?
Enterprise Architecture Defined
Data Architecture Defined
"Good" Data Architecture
Principles of Good Data Architecture
Principle 1: Choose Common Components Wisely
Principle 2: Plan for Failure
Principle 3: Architect for Scalability
Principle 4: Architecture Is Leadership
Principle 5: Always Be Architecting
Principle 6: Build Loosely Coupled Systems
Principle 7: Make Reversible Decisions
Principle 8: Prioritize Security
Principle 9: Embrace FinOps
Major Architecture Concepts
Domains and Services
Distributed Systems， Scalability， and Designing for Failure
Tight Versus Loose Coupling: Tiers， Monoliths， and Microservices
User Access: Single Versus Multitenant
Event-Driven Architecture
Brownfield Versus Greenfield Projects
Examples and Types of Data Architecture
Data Warehouse
Data Lake
Convergence， Next-Generation Data Lakes， and the Data Platform
Modern Data Stack
Lambda Architecture

Part Ⅱ The Data Engineering Lifecycle in Depth
Part Ⅲ Security，Privacy，and the Future of Data Engineering


詳細資料或其他書籍請至台灣高等教育出版社查詢，查後請於客服中心或Line或本社留言板留言，我們即儘速上架。

大陸簡體正版圖書，訂購後正常情形下約兩周可抵台。