Description
Deciphering Data Architectures by James Serra is a comprehensive guide designed to help data professionals understand and choose the best modern data architecture for their business needs. Published in February 2024, this book breaks down the core concepts, advantages, and challenges of popular data paradigms such as modern data warehouses, data fabrics, data lakehouses, and data meshes.
James Serra, a renowned Microsoft architect and data expert, provides clear, vendor-neutral insights to help you make informed architectural decisions. The book explains how traditional data warehouses continue to offer structured reliability, while data lakehouses merge the best of data lakes and warehouses for agility and performance. It also explores how data fabrics enable seamless data integration and governance, and how data mesh promotes decentralized, domain-driven data ownership.
Key topics include:
Detailed comparisons of data warehouses, lakehouses, fabrics, and meshes
Criteria for selecting the right architecture based on business goals
Implementation best practices and organizational considerations
Future-proofing your data platform to handle growing and diverse datasets
Ideal for data architects, engineers, analytics managers, and CIOs, Deciphering Data Architectures equips you with the knowledge to build scalable, efficient, and maintainable data infrastructures in today’s rapidly evolving landscape.
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