AI-Ready
Data Blueprints
From Raw Data to AI-Driven Innovation
Navnit Shukla, Kien Pham,
Srikanth Sopirala & Harsha Tadiparthi
Foreword by Ehsan Hoque
,“This book turns the hardest problem in enterprise GenAI—making your
data actually AI-ready—into a clear, actionable engineering plan.
If you’re building, not just talking, this is your playbook.”
Magesh Varadharajan, engineering leader, Gen Digital Inc.
“A rare blend of strategy and hands-on execution. A practical guide
for translating AI hype into enterprise reality.”
Iskander Sanchez-Rola, AI and innovation leader
AI-Ready Data Blueprints
Companies innovating with generative AI understand that Navnit Shukla is a Snowflake
having the right data foundation is critical for success and principal solutions architect
profitability. To best position themselves for long-term who helps clients derive insights
success, organizations must prioritize investments in data from data using AI. He is also
and AI governance. AI-Ready Data Blueprints is your map the author of Data Wrangling
to connecting data strategy, GenAI, and ethical practices on AWS.
to build and scale truly effective solutions. Kien Pham is an AWS principal
Taking a comprehensive, cloud-agnostic approach focused on solutions architect supporting
real-world business challenges, seasoned data and AI experts digital native business. Kien
Navnit Shukla, Kien Pham, Srikanth Sopirala, and Harsha has over 10 years of software
Tadiparthi share actionable insights to guide you in designing engineering experience.
and implementing effective data-centric GenAI systems. Srikanth Sopirala is a principal
Whether you’re new to GenAI or are already focusing on AI specialist at AWS, helping
optimizing it for accuracy, speed, or both, the principles shared global enterprises turn high‑stakes
in this book will empower you to excel in all your AI endeavors. AI and data challenges into secure,
• Identify the key elements of a solid data foundation scalable, production-ready solutions.
for generative AI Harsha Tadiparthi is a principal
• Apply data governance and orchestration techniques AI specialist at AWS, where he
to ensure high data quality, access control, and proper helps Fortune 500 companies
data lineage for reliable AI systems solve complex challenges in
• Optimize GenAI applications through prompt engineering, data and AI.
fine-tuning, and retrieval-augmented generation
• Implement security, compliance, and governance measures,
including responsible AI practices, transparency, and more
DATA
US $79.99 CAN $99.99
ISBN: 979-8-341-63179-3
57999
9 798341 631793
, AI-Ready Data Blueprints
From Raw Data to AI-Driven Innovation
Navnit Shukla, Kien Pham,
Srikanth Sopirala, and Harsha Tadiparthi
Foreword by Ehsan Hoque
, AI-Ready Data Blueprints
by Navnit Shukla, Kien Pham, Srikanth Sopirala, and Harsha Tadiparthi
Copyright © 2026 Navnit Kumar Shukla, AZ25 Lab, Harsha Tadiparthi, and Srikanth Sopirala. All rights
reserved.
Published by O’Reilly Media, Inc., 141 Stony Circle, Suite 195, Santa Rosa, CA 95401.
O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions
are also available for most titles (https://oreilly.com). For more information, contact our corporate/institu‐
tional sales department: 800-998-9938 or .
Acquisitions Editor: Aaron Black Indexer: Judith McConville
Development Editor: Sara Hunter Cover Designer: Susan Brown
Production Editor: Elizabeth Faerm Cover Illustrator: Monica Kamsvaag
Copyeditor: Rachel Wheeler Interior Designer: David Futato
Proofreader: Kim Wimpsett Interior Illustrator: Kate Dullea
May 2026: First Edition
Revision History for the First Edition
2026-05-06: First Release
See https://oreilly.com/catalog/errata.csp?isbn=9798341631793 for release details.
The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. AI-Ready Data Blueprints, the cover
image, and related trade dress are trademarks of O’Reilly Media, Inc.
The views expressed in this work are those of the authors and do not represent the publisher’s views.
While the publisher and the authors have used good faith efforts to ensure that the information and
instructions contained in this work are accurate, the publisher and the authors disclaim all responsibility
for errors or omissions, including without limitation responsibility for damages resulting from the use
of or reliance on this work. Use of the information and instructions contained in this work is at your
own risk. If any code samples or other technology this work contains or describes is subject to open
source licenses or the intellectual property rights of others, it is your responsibility to ensure that your use
thereof complies with such licenses and/or rights.
979-8-341-63179-3
[LSI]
Data Blueprints
From Raw Data to AI-Driven Innovation
Navnit Shukla, Kien Pham,
Srikanth Sopirala & Harsha Tadiparthi
Foreword by Ehsan Hoque
,“This book turns the hardest problem in enterprise GenAI—making your
data actually AI-ready—into a clear, actionable engineering plan.
If you’re building, not just talking, this is your playbook.”
Magesh Varadharajan, engineering leader, Gen Digital Inc.
“A rare blend of strategy and hands-on execution. A practical guide
for translating AI hype into enterprise reality.”
Iskander Sanchez-Rola, AI and innovation leader
AI-Ready Data Blueprints
Companies innovating with generative AI understand that Navnit Shukla is a Snowflake
having the right data foundation is critical for success and principal solutions architect
profitability. To best position themselves for long-term who helps clients derive insights
success, organizations must prioritize investments in data from data using AI. He is also
and AI governance. AI-Ready Data Blueprints is your map the author of Data Wrangling
to connecting data strategy, GenAI, and ethical practices on AWS.
to build and scale truly effective solutions. Kien Pham is an AWS principal
Taking a comprehensive, cloud-agnostic approach focused on solutions architect supporting
real-world business challenges, seasoned data and AI experts digital native business. Kien
Navnit Shukla, Kien Pham, Srikanth Sopirala, and Harsha has over 10 years of software
Tadiparthi share actionable insights to guide you in designing engineering experience.
and implementing effective data-centric GenAI systems. Srikanth Sopirala is a principal
Whether you’re new to GenAI or are already focusing on AI specialist at AWS, helping
optimizing it for accuracy, speed, or both, the principles shared global enterprises turn high‑stakes
in this book will empower you to excel in all your AI endeavors. AI and data challenges into secure,
• Identify the key elements of a solid data foundation scalable, production-ready solutions.
for generative AI Harsha Tadiparthi is a principal
• Apply data governance and orchestration techniques AI specialist at AWS, where he
to ensure high data quality, access control, and proper helps Fortune 500 companies
data lineage for reliable AI systems solve complex challenges in
• Optimize GenAI applications through prompt engineering, data and AI.
fine-tuning, and retrieval-augmented generation
• Implement security, compliance, and governance measures,
including responsible AI practices, transparency, and more
DATA
US $79.99 CAN $99.99
ISBN: 979-8-341-63179-3
57999
9 798341 631793
, AI-Ready Data Blueprints
From Raw Data to AI-Driven Innovation
Navnit Shukla, Kien Pham,
Srikanth Sopirala, and Harsha Tadiparthi
Foreword by Ehsan Hoque
, AI-Ready Data Blueprints
by Navnit Shukla, Kien Pham, Srikanth Sopirala, and Harsha Tadiparthi
Copyright © 2026 Navnit Kumar Shukla, AZ25 Lab, Harsha Tadiparthi, and Srikanth Sopirala. All rights
reserved.
Published by O’Reilly Media, Inc., 141 Stony Circle, Suite 195, Santa Rosa, CA 95401.
O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions
are also available for most titles (https://oreilly.com). For more information, contact our corporate/institu‐
tional sales department: 800-998-9938 or .
Acquisitions Editor: Aaron Black Indexer: Judith McConville
Development Editor: Sara Hunter Cover Designer: Susan Brown
Production Editor: Elizabeth Faerm Cover Illustrator: Monica Kamsvaag
Copyeditor: Rachel Wheeler Interior Designer: David Futato
Proofreader: Kim Wimpsett Interior Illustrator: Kate Dullea
May 2026: First Edition
Revision History for the First Edition
2026-05-06: First Release
See https://oreilly.com/catalog/errata.csp?isbn=9798341631793 for release details.
The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. AI-Ready Data Blueprints, the cover
image, and related trade dress are trademarks of O’Reilly Media, Inc.
The views expressed in this work are those of the authors and do not represent the publisher’s views.
While the publisher and the authors have used good faith efforts to ensure that the information and
instructions contained in this work are accurate, the publisher and the authors disclaim all responsibility
for errors or omissions, including without limitation responsibility for damages resulting from the use
of or reliance on this work. Use of the information and instructions contained in this work is at your
own risk. If any code samples or other technology this work contains or describes is subject to open
source licenses or the intellectual property rights of others, it is your responsibility to ensure that your use
thereof complies with such licenses and/or rights.
979-8-341-63179-3
[LSI]
