Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data F

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Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
ISBN-13
9781098150761
Book Title
Deciphering Data Architectures
ISBN
9781098150761
Category

About this product

Product Identifiers

Publisher
O'reilly Media, Incorporated
ISBN-10
1098150767
ISBN-13
9781098150761
eBay Product ID (ePID)
14064878708

Product Key Features

Number of Pages
275 Pages
Publication Name
Deciphering Data Architectures : Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh
Language
English
Publication Year
2024
Subject
Data Modeling & Design, Data Visualization, General, Data Processing
Type
Textbook
Subject Area
Mathematics, Computers
Author
James Serra
Format
Trade Paperback

Dimensions

Item Height
0.6 in
Item Weight
17.2 Oz
Item Length
9.2 in
Item Width
7.4 in

Additional Product Features

Dewey Edition
23
Dewey Decimal
005.745
Synopsis
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 these architectures to help data professionals understand the pros and cons of each. 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, as well as 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. With this book, you'll: Gain a working understanding of several data architectures Learn the strengths and weaknesses of each approach Distinguish data architecture theory from reality 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 Explore the historical evolution and characteristics of data architectures Learn essentials of running an architecture design session, team organization, and project success factors Free from product discussions, this book will serve as a timeless resource for years to come.
LC Classification Number
QA76.9.D37S4 2024

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