Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh


Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh
Author: James Serra (Author)
Publisher finelybook 出版社: Oreilly & Associates Inc
Edition 版次: 1st
Publication Date 出版日期: 2024-03-19
Language 语言: English
Print Length 页数: 225 pages
ISBN-10: 1098150767
ISBN-13: 9781098150761


Book Description
By finelybook

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

Review

“There is no one whose knowledge of data architectures and data processes I trust more than James Serra. This book not only provides a comprehensive and clear description of key architectural principles, approaches, and pitfalls, it also addresses the all-important people, cultural, and organizational issues that too often imperil data projects before they get going. This book is destined to become an industry primer studied by college students and business professionals alike who encounter data for the first time (and maybe the second and third time as well!)”
–Wayne Eckerson, President of Eckerson Group
“James’s superpower has always been taking complex subjects and explaining them in a simple way. In this book, he hits all the key points to help you choose the right data architecture and avoid common (and costly!) mistakes.”
–Rod Colledge, Senior Technical Specialist (Data & AI), Microsoft
“James has condensed over 30 years of data architecture knowledge and wisdom into this comprehensive and very readable book. For those who must do the hard work of delivering analytics rather than singing its praises, this is a must-read.”
–Dr. Barry Devlin, Founder and Principal, 9sight Consulting
“Data management is critical to the success of every business.
Deciphering Data Architectures breaks down the buzzwords into simple and understandable concepts and practical solutions to help you get to the right architecture for your dataset. James has an innate curiosity to understand things and then to share that in a way that everyone can understand.”
–Matt Usher, Director, Pure Storage
“James’ blog has been my go-to resource for demystifying architectural concepts, understanding technical terminology, and navigating the life of a solution architect or data engineer. His ability to transform complex technical concepts into clear, easy-to-grasp explanations is truly remarkable. This book is an invaluable collection of his work, serving as a comprehensive reference guide for designing and comprehending architectures.”
–Annie Xu, Senior Data Customer Engineer, google
“Deciphering Data Architectures is not only thorough and detailed, but it also provides a critical perspective on what works, and perhaps more importantly, what may not work well. Whether discussing older data approaches or newer ones such as Data Mesh, the book offers words of wisdom and lessons learned that will help any data practitioner accelerate their data journey.”
–Eric Broda, entrepreneur, data consultant, O’Reilly author of
Implementing Data Mesh
“In
Deciphering Data Architectures, James Serra does a wonderful job explaining the evolution of leading data architectures and the trade-offs between them. This book should be required reading for current and aspiring data architects.”
–Bill Anton, Data Geek, Opifex Solutions
“Marketing buzz and industry thought-leader chatter have sown much confusion about data architecture patterns. With his depth of experience and skill as a communicator, James Serra cuts through the noise and provides clarity on both long-established data architecture patterns and cutting-edge industry methods. that will aid data practitioners and data leaders alike. Put it on your desk– you’ll reference it often.”
–Sawyer Nyquist, Owner, Writer, and Consultant, The Data Shop
“Deciphering Data Architectures is an indispensable vendor-neutral guide for today’s data professionals. It insightfully compares historical and modern architectures, emphasizing key trade-offs and decision-making nuances in choosing an appropriate architecture for the evolving data-driven landscape.”
–Stacia Varga, Author and data analytics consultant, Data Inspirations
“The world of data architectures is complex and full of noise. This book provides a fresh, practical perspective born of decades of experience. Whether you’re a beginner or an expert, everyone with an interest in data must read this book!”
–Piethein Strengholt, author of
Data Management at Scale

About the Author

James works at Microsoft as a big data and data warehousing solution architect where he has been for most of the last nine years. He is a thought leader in the use and application of Big Data and advanced analytics, including data architectures such as the modern data warehouse, data lakehouse, data fabric, and data mesh. Previously he was an independent consultant working as a Data Warehouse/Business Intelligence architect and developer. He is a prior SQL Server MVP with over 35 years of IT experience. He is a popular blogger (JamesSerra.com) and speaker, having presented at dozens of major events including SQLBits, PASS Summit, Data Summit and the Enterprise Data World conference.

Amazon page

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