Description: Deciphering Data Architectures : Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh, Paperback by Serra, James, ISBN 1098150767, ISBN-13 9781098150761, Brand New, Free shipping in the US 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 architecturesKnow the pros and cons of each approachDistinguish data architecture theory from the realityLearn to pick the best architecture for your use caseUnderstand the differences between data warehouses and data lakesLearn common data architecture concepts to help you build better solutionsAlleviate confusion by clearly defining each data architectureKnow what architectures to use for each cloud provider
Price: 59.09 USD
Location: Jessup, Maryland
End Time: 2024-10-17T09:45:28.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Book Title: Deciphering Data Architectures : Choosing Between a Modern Data W
Number of Pages: 275 Pages
Language: English
Publication Name: Deciphering Data Architectures : Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh
Publisher: O'reilly Media, Incorporated
Subject: Data Modeling & Design, General, Data Visualization, Data Processing
Item Height: 0.6 in
Publication Year: 2024
Item Weight: 17.2 Oz
Type: Textbook
Subject Area: Mathematics, Computers
Item Length: 9.2 in
Author: James Serra
Item Width: 7.4 in
Format: Trade Paperback
