The Definitive Guide to Data Integration: Unlock the power of data integration to efficiently manage, transform, and analyze data
暫譯: 數據整合的權威指南:解鎖數據整合的力量,以有效管理、轉換和分析數據
Bonnefoy, Pierre-Yves, Chaize, Emeric, Mansuy, Raphaël
- 出版商: Packt Publishing
- 出版日期: 2024-03-29
- 售價: $1,650
- 貴賓價: 9.5 折 $1,568
- 語言: 英文
- 頁數: 490
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1837631913
- ISBN-13: 9781837631919
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相關分類:
Data Science
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商品描述
Learn the essentials of data integration with this comprehensive guide, covering everything from sources to solutions, and discover the key to making the most of your data stack
Key Features
- Learn how to leverage modern data stack tools and technologies for effective data integration
- Design and implement data integration solutions with practical advice and best practices
- Focus on modern technologies such as cloud-based architectures, real-time data processing, and open-source tools and technologies
Book Description
The Definitive Guide to Data Integration is an indispensable resource for navigating the complexities of modern data integration. Focusing on the latest tools, techniques, and best practices, this guide helps you master data integration and unleash the full potential of your data. This comprehensive guide begins by examining the challenges and key concepts of data integration, such as managing huge volumes of data and dealing with the different data types. You'll gain a deep understanding of the modern data stack and its architecture, as well as the pivotal role of open-source technologies in shaping the data landscape. Delving into the layers of the modern data stack, you'll cover data sources, types, storage, integration techniques, transformation, and processing. The book also offers insights into data exposition and APIs, ingestion and storage strategies, data preparation and analysis, workflow management, monitoring, data quality, and governance. Packed with practical use cases, real-world examples, and a glimpse into the future of data integration, The Definitive Guide to Data Integration is an essential resource for data eclectics. By the end of this book, you'll have the gained the knowledge and skills needed to optimize your data usage and excel in the ever-evolving world of data.
What you will learn
- Discover the evolving architecture and technologies shaping data integration
- Process large data volumes efficiently with data warehousing
- Tackle the complexities of integrating large datasets from diverse sources
- Harness the power of data warehousing for efficient data storage and processing
- Design and optimize effective data integration solutions
- Explore data governance principles and compliance requirements
Who this book is for
This book is perfect for data engineers, data architects, data analysts, and IT professionals looking to gain a comprehensive understanding of data integration in the modern era. Whether you're a beginner or an experienced professional enhancing your knowledge of the modern data stack, this definitive guide will help you navigate the data integration landscape.
商品描述(中文翻譯)
學習數據整合的基本要素,這本全面的指南涵蓋了從數據來源到解決方案的所有內容,並發現充分利用您的數據堆疊的關鍵。
主要特點
- 學習如何利用現代數據堆疊工具和技術進行有效的數據整合
- 設計和實施數據整合解決方案,提供實用建議和最佳實踐
- 專注於現代技術,如雲端架構、即時數據處理以及開源工具和技術
書籍描述
《數據整合的權威指南》是導航現代數據整合複雜性的不可或缺的資源。這本指南專注於最新的工具、技術和最佳實踐,幫助您掌握數據整合,釋放數據的全部潛力。這本全面的指南首先檢視數據整合的挑戰和關鍵概念,例如管理大量數據和處理不同數據類型。您將深入了解現代數據堆疊及其架構,以及開源技術在塑造數據生態中的關鍵角色。深入探討現代數據堆疊的各個層面,您將涵蓋數據來源、類型、存儲、整合技術、轉換和處理。這本書還提供了有關數據展示和API、數據攝取和存儲策略、數據準備和分析、工作流程管理、監控、數據質量和治理的見解。充滿實用案例、真實世界的例子,以及對數據整合未來的展望,《數據整合的權威指南》是數據愛好者的必備資源。在閱讀完這本書後,您將獲得優化數據使用和在不斷演變的數據世界中脫穎而出的知識和技能。
您將學到什麼
- 發現塑造數據整合的演變架構和技術
- 使用數據倉儲有效處理大量數據
- 解決來自不同來源的大型數據集整合的複雜性
- 利用數據倉儲的力量進行高效的數據存儲和處理
- 設計和優化有效的數據整合解決方案
- 探索數據治理原則和合規要求
本書適合誰
這本書非常適合數據工程師、數據架構師、數據分析師和IT專業人士,旨在幫助他們全面了解現代數據整合。無論您是初學者還是希望增強對現代數據堆疊知識的經驗豐富的專業人士,這本權威指南將幫助您導航數據整合的領域。
目錄大綱
- Introduction to our data integration journey
- Introducing Data Integration
- Architecture and History of Data Integration
- Data Sources and Types
- Columnar Data Formats and comparisons
- Data Storage Technologies and Architectures
- Data Ingestion and Storage Strategies
- Data Integration Techniques
- Data Transformation and Processing
- Transformation patterns, cleansing and normalization
- Data Exposition and APIs
- Data Preparation and Analysis
- Workflow Management, Monitoring, and Data Quality
- Lineage, Governance, and Compliance
- Various Architecture Use Cases
- Prospects and Challenges
目錄大綱(中文翻譯)
- Introduction to our data integration journey
- Introducing Data Integration
- Architecture and History of Data Integration
- Data Sources and Types
- Columnar Data Formats and comparisons
- Data Storage Technologies and Architectures
- Data Ingestion and Storage Strategies
- Data Integration Techniques
- Data Transformation and Processing
- Transformation patterns, cleansing and normalization
- Data Exposition and APIs
- Data Preparation and Analysis
- Workflow Management, Monitoring, and Data Quality
- Lineage, Governance, and Compliance
- Various Architecture Use Cases
- Prospects and Challenges