Overview

In the AI-driven world of 2025, where data volumes explode and models demand petabytes in real time, most data infrastructure breaks, bleeds money, or simply fails to scale. Building Scalable Data Infrastructure: Proven Frameworks for Robust Systems in the AI Era is the no-nonsense playbook that fixes that. Written by a veteran CTO who has scaled systems at Fortune 500 companies and unicorns, this book gives you battle-tested blueprints to build resilient, cost-efficient, future-proof data platforms that power AI without chaos. Inside you'll discover: Lakehouse architectures that handle 1 PB/day and 1B events/sec Serverless & edge patterns that cut cloud bills 40-70% Real-world case studies from e-commerce, healthcare, and fintech End-to-end frameworks for ingestion → processing → AI serving Zero-trust security and GDPR/EU AI Act compliance built in Ready-to-use code snippets, diagrams, and 90-day rollout plans No theory. No fluff. Just the exact steps that leading teams at Netflix, Airbnb, PayPal, and Mayo Clinic use today. Whether you're a data engineer, architect, or tech leader, this book turns data chaos into your biggest competitive advantage. Grab your copy now and build the scalable, AI-ready infrastructure your organization needs to win in 2025 and beyond.

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