Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh (Paperback)
Serra, James
- 出版商: O'Reilly
- 出版日期: 2024-03-12
- 定價: $2,780
- 售價: 9.5 折 $2,641
- 貴賓價: 9.0 折 $2,502
- 語言: 英文
- 頁數: 275
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1098150767
- ISBN-13: 9781098150761
-
相關分類:
大數據 Big-data、資料庫、Data Science
立即出貨
買這商品的人也買了...
-
$479$455 -
$403遊戲數據分析的藝術
-
$580$493 -
$1,074$1,020 -
$2,166Database Internals: A Deep Dive Into How Distributed Data Systems Work (Paperback)
-
$534$507 -
$474$450 -
$534$507 -
$834$792 -
$556高並發系統實戰派:集群、Redis 緩存、海量存儲、Elasticsearch、RocketMQ、微服務、持續集成等
-
$1,014$963 -
$2,185$2,070 -
$602計算機底層的秘密
-
$774$735 -
$650$429 -
$600$396 -
$650$513 -
$620$484 -
$509數以達理:量化研發管理指南
-
$834$792 -
$2,185$2,070 -
$1,881Software Supply Chain Security: Securing the End-To-End Supply Chain for Software, Firmware, and Hardware (Paperback)
-
$1,425$1,350 -
$620$489 -
$650$507
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