Building Data Integration Solutions: Unifying Data for Enhanced Decision Making
暫譯: 構建數據整合解決方案:統一數據以提升決策能力

Borthen, Jay

  • 出版商: O'Reilly
  • 出版日期: 2025-12-02
  • 售價: $2,850
  • 貴賓價: 9.5$2,708
  • 語言: 英文
  • 頁數: 281
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1098173066
  • ISBN-13: 9781098173067
  • 相關分類: Data-mining
  • 海外代購書籍(需單獨結帳)

商品描述

Are you struggling to manage and make sense of the vast streams of data flowing into your organization? In today's data-driven world, the ability to effectively unify and organize disparate data sources is not just an advantage--it's a necessity. The challenge lies in navigating the complexities of data diversity, volume, and regulatory demands, which can overwhelm even the most seasoned data professionals.

In this essential book, Jay Borthen offers a comprehensive guide to understanding the art of data integration. This book dives deep into the processes and strategies necessary for creating effective data pipelines that ensure consistency, accuracy, and accessibility of your data. Whether you're a novice looking to understand the basics or an experienced professional aiming to refine your skills, Borthen's insights and practical advice, grounded in real-world case studies, will empower you to transform your organization's data handling capabilities. You will:

  • Understand various data integration solutions and how different technologies can be employed
  • Gain insights into the relationship between data integration and the overall data lifecycle
  • Learn to effectively design, set up, and manage data integration components within pipelines
  • Acquire the knowledge to configure pipelines, perform data migrations, transformations, and more

商品描述(中文翻譯)

您是否在管理和理解流入您組織的龐大數據流時感到困難?在當今以數據為驅動的世界中,有效統一和組織不同數據來源的能力不僅是一種優勢,更是一種必要性。挑戰在於應對數據多樣性、數量和法規要求的複雜性,這些挑戰甚至可以壓倒最有經驗的數據專業人士。

在這本必備的書籍中,Jay Borthen 提供了一個全面的數據整合藝術指南。本書深入探討了創建有效數據管道所需的過程和策略,確保您的數據的一致性、準確性和可訪問性。無論您是希望了解基礎的初學者,還是希望提升技能的經驗豐富的專業人士,Borthen 的見解和基於真實案例的實用建議將使您能夠轉變組織的數據處理能力。您將會:

- 了解各種數據整合解決方案以及如何使用不同技術
- 獲得有關數據整合與整體數據生命周期之間關係的見解
- 學習如何有效設計、設置和管理管道中的數據整合組件
- 獲得配置管道、執行數據遷移、轉換等的知識