AI Ready Data Blueprints

From Raw Data to AI-Driven Innovation

📅
May 2026
📊
Intermediate
To Advanced
📚
200 Pages
⏱️
3h 13m
🌐
English
🏢
O'Reilly Media,
Inc.

Why This Book?

Transform your data infrastructure with proven patterns and expert guidance

🎯

Proven Patterns

Learn battle-tested data architecture patterns used by AWS customers worldwide

💡

Real-World Examples

Practical implementations with working code samples you can use immediately

🚀

AI-Ready Architecture

Build data foundations that support modern AI and ML workloads

🔧

AWS Best Practices

Learn directly from AWS experts with years of field experience

📊

Data Governance

Implement robust data governance and compliance frameworks

Performance at Scale

Design systems that handle enterprise-scale data volumes efficiently

What You'll Learn

Comprehensive coverage of modern data architecture

1
Foundations of AI-Ready Data
Understanding data quality, governance, and architecture principles
2
Data Ingestion Patterns
Streaming and batch data ingestion architectures
3
Data Lake Architecture
Building scalable and secure data lakes on AWS
4
Data Transformation
ETL/ELT patterns and data processing frameworks
5
Machine Learning Data Pipelines
Feature engineering and ML data preparation
6
GenAI Data Requirements
Preparing data for generative AI applications

Get Your Copy

Available in print and digital formats from your favorite retailers

📖 Format Options

📕
Print Edition

Traditional paperback format, perfect for your bookshelf

📱
Digital Edition

PDF, EPUB, and MOBI formats for all your devices

🎧
Audiobook

Listen and learn on the go (Amazon only)

Code Samples

Access working examples and implementation guides from the book

💻

Main Repository

Complete source code for all examples, organized by chapter. Includes infrastructure as code, sample datasets, and deployment scripts.

View on GitHub →
🏗️

Data Lake Blueprints

Production-ready CloudFormation and Terraform templates for building modern data lakes with AWS services.

View on GitHub →
🤖

ML Pipeline Examples

End-to-end machine learning pipelines with feature engineering, training, and deployment automation.

View on GitHub →

GenAI Data Pipelines

Specialized data pipelines for generative AI, including vector databases and RAG implementations.

View on GitHub →

🚀 Getting Started

  1. Clone the repository to your local machine
  2. Review the README for prerequisites and setup instructions
  3. Follow chapter-specific guides in each directory
  4. Deploy examples to your AWS account

Download Blueprints

Free PDF blueprints and architecture diagrams to accelerate your projects

📐

Data Lake Reference Architecture

Complete architecture diagram with component descriptions and best practices

2.3 MB • 15 pages

🔄

ETL Pipeline Patterns

Common data transformation patterns with implementation guidance

1.8 MB • 12 pages

🛡️

Data Governance Framework

Security, compliance, and governance best practices checklist

1.5 MB • 10 pages

🎯

ML Feature Store Design

Architecture for scalable feature engineering and storage

2.1 MB • 14 pages

Real-Time Data Streaming

Event-driven architecture patterns for streaming data

1.9 MB • 11 pages

🧠

GenAI Data Architecture

Specialized patterns for generative AI and LLM applications

2.5 MB • 16 pages

Request Engagement

Work with our team of experts for your data and AI initiatives

💼

Consulting Services

Get expert guidance on your data architecture and AI strategy

  • Architecture review and design
  • Data strategy development
  • Implementation roadmaps
  • Performance optimization
Request Consultation
🎤

Speaking Engagements

Book our authors for conferences, webinars, and corporate events

  • Keynote presentations
  • Technical deep dives
  • Panel discussions
  • Fireside chats
Book a Speaker
🎓

Training Workshops

Custom training programs for your teams and organizations

  • Hands-on workshops
  • Custom curriculum design
  • On-site or virtual delivery
  • Certification preparation
Schedule Training

Ready to Transform Your Data Strategy?

Contact us to discuss how we can help your organization build AI-ready data infrastructure

Get in Touch