January 2027
Intermediate to advanced
350 pages
2h 59m
English
Overview
In today's interconnected software landscape, understanding data architecture is essential for building efficient, modern systems. Software architects, engineers, and data professionals alike need tools to design and evolve architectures to effectively handle and act on vast amounts of data. This book offers you a comprehensive exploration of operational and analytical data architectures, the trade-offs involved, and when it's time to migrate to a new style.
Packed with practical advice, authors Pramod Sadalage and Premanand Chandrasekaran help readers make informed decisions about moving, storing, and processing data at scale to meet business needs, end user demands, and maintainer requirements. Learn how to partition data, manage reporting and caching in operational systems, and structure your architecture to ensure accessibility and efficiency. Whether you're designing from scratch or modernizing an existing system, this is the resource you need to make thoughtful, future-proof choices.
- Understand why data architecture is critical for modern software systems
- Explore operational and analytical data architecture styles and their uses
- Identify the key trade-offs in choosing or updating your architecture
- Migrate data architectures effectively to support new demands
- Implement strategies for data partitioning, reporting, and caching
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