Scalable Data Architecture: The Engineer’s Guide to Building Maintainable Systems that Slash Technical Debt and Eliminate On-Call Burnout
Are your data pipelines fast enough to impress stakeholders, but fragile enough to wake engineers at 3:00 AM? Modern data teams are drowning in schema drift, runaway cloud costs, broken dashboards, silent failures, messy transformations, and on-call pressure that never seems to end.
Scalable Data Architecture gives data engineers, platform architects, analytics engineers, and technical leaders a practical playbook for building maintainable data systems that scale without turning teams into permanent firefighters. This book shows how to move beyond brittle scripts and reactive fixes by applying software engineering discipline to modern data platforms: data contracts, idempotent ingestion, partitioned storage, CI/CD, observability, governance, FinOps, real-time processing, and AI-ready vector infrastructure.
Inside, readers will learn how to:
If you want data systems that are easier to operate, safer to change, cheaper to run, and kinder to the engineers who maintain them, this book gives you the blueprint.
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Librería: California Books, Miami, FL, Estados Unidos de America
Condición: New. Print on Demand. Nº de ref. del artículo: I-9798258831453
Cantidad disponible: Más de 20 disponibles