Building Scalable Data Infrastructure: Proven Frameworks for Robust Systems in the AI Era

By JERNIGAN GUNLO

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/secServerless & edge patterns that cut cloud bills 40-70%Real-world case studies from e-commerce, healthcare, and fintechEnd-to-end frameworks for ingestion → processing → AI servingZero-trust security and GDPR/EU AI Act compliance built inReady-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.

• Format: Paperback
• Language: English
• ISBN: B0G2S3QN1K
• ISBN13: 9798274957380
• Release Date: November 2025
• Publisher: Independently Published
• Length: 264 Pages
• Weight: 0.79 lbs.
• Dimensions: 0.6" x 6.0" x 9.0"