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Data Mesh and Zero-ETL Architectures: A Practical Guide for Building and Scaling Your Data Pipelines for Modern, Decentralized Data Platforms
Paperback
Series: Cloud Data Engineering Series: Pipelines, Automation, and Modern Architectures
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Publisher: Independently Published
Published: Sep 24 2025
Pages: 110
Weight: 0.45
Height: 0.23 Width: 7.00 Depth: 10.00
Language: English
Data teams are drowning in pipelines, duplication, and delays-while business leaders demand faster insights and real-time intelligence. What if the solution isn't bigger warehouses or more ETL jobs, but a new way of thinking about data itself?
Data Mesh and Zero-ETL Architectures: A Practical Guide for Building and Scaling Your Data Pipelines for Modern, Decentralized Data Platforms shows you how to move beyond brittle, centralized systems and build data platforms designed for scale, trust, and speed. Written for data engineers, architects, and technology leaders, this book explains how to design pipelines that reduce duplication, align ownership with business domains, and deliver fresh data for analytics, AI, and decision-making.
Inside, you'll find a practical framework that blends organizational strategy with hands-on technical patterns. Key chapters include:
Rethinking Data Architectures - Why centralized ETL pipelines fail at scale and how decentralization changes the game.
Principles of Data Mesh - Data as a product, domain-oriented ownership, and federated governance in practice.
Understanding Zero-ETL Architectures - Core principles of minimizing data movement and enabling real-time analytics.
Designing Domain-Oriented Data Products - Boundaries, APIs, metadata, and documentation for discoverability.
Implementing Zero-ETL Patterns - Federation, streaming with Kafka and Pulsar, and CDC for real-time workloads.
Governance and Security - Access control, privacy, observability, and monitoring across distributed pipelines.
Future Trends - Data contracts, semantic layers, and knowledge graphs as the next step in intelligent data platforms.
What sets this book apart is its balance of strategy and execution. You'll gain not only the why behind Data Mesh and Zero-ETL, but also code examples, architectural patterns, and detailed walkthroughs that make the concepts tangible.
If you've been asking yourself why your pipelines take too long, why data quality breaks down across teams, or how to prepare your architecture for AI-driven workloads, this book provides the answers.
Take the next step in your data strategy. Equip your organization with modern, decentralized architectures that scale seamlessly and deliver data you can trust. Get your copy today and start building the data platform your business needs.
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