The Definitive Guide to Data Integration: Unlock the power of data integration to efficiently manage, transform, and analyze data

Bonnefoy, Pierre-Yves, Chaize, Emeric, Mansuy, Raphaël

  • 出版商: Packt Publishing
  • 出版日期: 2024-03-29
  • 售價: $1,580
  • 貴賓價: 9.5$1,501
  • 語言: 英文
  • 頁數: 490
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1837631913
  • ISBN-13: 9781837631919
  • 立即出貨 (庫存=1)

相關主題

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)

學習資料整合的基本要素,這本全面指南涵蓋了從資料來源到解決方案的所有內容,並揭示了如何充分利用您的資料堆疊的關鍵。

主要特點:

- 學習如何利用現代資料堆疊工具和技術進行有效的資料整合
- 通過實用建議和最佳實踐設計和實施資料整合解決方案
- 專注於現代技術,如基於雲的架構、實時資料處理和開源工具和技術

書籍描述:

《資料整合的明確指南》是一本不可或缺的資源,用於應對現代資料整合的複雜性。本指南關注最新的工具、技術和最佳實踐,幫助您掌握資料整合,發揮資料的全部潛力。這本全面的指南首先探討資料整合的挑戰和關鍵概念,例如管理大量資料和處理不同類型的資料。您將深入了解現代資料堆疊及其架構,以及開源技術在塑造資料景觀中的關鍵作用。深入研究現代資料堆疊的各個層面,包括資料來源、類型、儲存、整合技術、轉換和處理。本書還提供了有關資料公開和應用程式介面、資料輸入和儲存策略、資料準備和分析、工作流管理、監控、資料品質和治理的見解。《資料整合的明確指南》充滿了實用案例、現實世界的例子,以及對資料整合未來的一瞥,是資料愛好者的必備資源。通過閱讀本書,您將獲得優化資料使用的知識和技能,並在不斷變化的資料世界中脫穎而出。

您將學到什麼:

- 探索塑造資料整合的演變架構和技術
- 通過資料倉儲高效處理大量資料
- 解決來自不同來源的大型資料集整合的複雜性
- 利用資料倉儲實現高效的資料儲存和處理
- 設計和優化有效的資料整合解決方案
- 探索資料治理原則和合規要求

本書適合對現代資料堆疊的資料工程師、資料架構師、資料分析師和IT專業人士。無論您是初學者還是經驗豐富的專業人士,都可以通過這本明確指南來了解資料整合的景觀。

目錄大綱

  1. Introduction to our data integration journey
  2. Introducing Data Integration
  3. Architecture and History of Data Integration
  4. Data Sources and Types
  5. Columnar Data Formats and comparisons
  6. Data Storage Technologies and Architectures
  7. Data Ingestion and Storage Strategies
  8. Data Integration Techniques
  9. Data Transformation and Processing
  10. Transformation patterns, cleansing and normalization
  11. Data Exposition and APIs
  12. Data Preparation and Analysis
  13. Workflow Management, Monitoring, and Data Quality
  14. Lineage, Governance, and Compliance
  15. Various Architecture Use Cases
  16. Prospects and Challenges

目錄大綱(中文翻譯)

我們的資料整合之旅介紹
介紹資料整合
資料整合的架構和歷史
資料來源和類型
列式資料格式和比較
資料儲存技術和架構
資料輸入和儲存策略
資料整合技術
資料轉換和處理
轉換模式、清理和規範化
資料呈現和應用程式介面
資料準備和分析
工作流程管理、監控和資料品質
血統、治理和合規性
各種架構使用案例
前景和挑戰