Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh (Paperback)
暫譯: 解碼數據架構:在現代數據倉庫、數據織物、數據湖屋和數據網格之間的選擇 (平裝本)
Serra, James
- 出版商: O'Reilly
- 出版日期: 2024-03-12
- 定價: $2,780
- 售價: 8.8 折 $2,446
- 語言: 英文
- 頁數: 275
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1098150767
- ISBN-13: 9781098150761
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相關分類:
大數據 Big-data、資料庫、Data Science
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商品描述
Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of each architecture to help data professionals understand its pros and cons.
In the process, James Serra, big data and data warehousing solution architect at Microsoft, examines common data architecture concepts, including how data warehouses have had to evolve to work with data lake features. You'll learn what data lakehouses can help you achieve, and how to distinguish data mesh hype from reality. Best of all, you'll be able to determine the most appropriate data architecture for your needs. By reading this book, you'll:
- Gain a working understanding of several data architectures
- Know the pros and cons of each approach
- Distinguish data architecture theory from the reality
- Learn to pick the best architecture for your use case
- Understand the differences between data warehouses and data lakes
- Learn common data architecture concepts to help you build better solutions
- Alleviate confusion by clearly defining each data architecture
- Know what architectures to use for each cloud provider
商品描述(中文翻譯)
資料織布(data fabric)、資料湖屋(data lakehouse)和資料網格(data mesh)最近成為現代資料倉儲的可行替代方案。這些新架構具有明確的優勢,但同時也伴隨著許多誇大其詞和混淆。本書提供了每種架構的導覽,幫助資料專業人士理解其優缺點。
在此過程中,微軟的大數據與資料倉儲解決方案架構師 James Serra 會探討常見的資料架構概念,包括資料倉儲如何演變以配合資料湖的特性。您將學習資料湖屋能幫助您達成的目標,以及如何區分資料網格的誇大與現實。最重要的是,您將能夠確定最適合您需求的資料架構。閱讀本書後,您將能:
- 獲得對幾種資料架構的實用理解
- 知道每種方法的優缺點
- 區分資料架構理論與現實
- 學會為您的使用案例選擇最佳架構
- 理解資料倉儲與資料湖之間的差異
- 學習常見的資料架構概念,以幫助您構建更好的解決方案
- 通過明確定義每種資料架構來減輕混淆
- 知道對於每個雲服務提供商應使用哪些架構