A New Beginning: My Book on Oracle Autonomous AI Database Is Live
My book is finally out: "Mastering Oracle Autonomous AI Database"
Friends, it’s official: my book is published. 🎉
I am writing this on 10 November 2026, the first day of the Hindu New Year, and that feels like the right day to share it properly. My book went live online on 20 October, on the auspicious day of Dussehra. A new year and a new beginning, with the book already out in the world.
Mastering Oracle Autonomous AI Database is published by Apress. The subtitle is a mouthful (AI-Powered Data Management, Automation, and 26ai Features for the Modern Enterprise), but the idea behind it is simple. Two dates that mean a lot to me
Dussehra marks the victory of good over evil and is considered one of the most auspicious days to begin something new. For a book that had been in the works for so long, going live on that day felt special. And now, three weeks later, the Hindu New Year begins and I get to write this post. For me, both dates are about new beginnings: for the book, and for what comes next in my own journey.
Why I wrote it
I have been writing blogs on small topics every now and then, and at conferences people often come up to me and ask, “How do I do this?” or “How does this actually work?” I enjoyed those conversations, but a short blog or a quick chat could only go so far. That got me thinking: why not write one complete book, based on my own experience with Autonomous Database?
Most of my working days go into Autonomous Database, OCI, E-Business Suite and, lately, Private Agent Factory. Over the years I kept working out how something really behaves in a project, and then wishing it had been written down properly in one place.
Oracle’s documentation is excellent for reference, but it doesn’t always tell you what to do first, what to watch out for, or how the pieces fit together on a real project. So I wrote the book I would have liked to have when I was starting out, by a practitioner, for practitioners.
What you’ll find inside
- Autonomous AI Database fundamentals, explained from the practitioner’s side.
- Performance tuning, with practical examples.
- Private Agent Factory and how it fits into the AI picture.
- The new 26ai features, and what they mean in practice.
- A running dataset throughout, Choco World India, so the examples build on each other instead of starting from scratch every chapter.
- Lesson learned and Best Practices.
The people behind it
I couldn’t have done this alone, and it would be unfair to pretend otherwise.
Sai Penumuru, for his guidance, and for giving me the courage to start writing in the first place.
Basheer Khan, my technical reviewer, for his sharp eye and honest feedback. The book is better because of him.
Shaul Elson at Apress, who supported me from the very beginning, from choosing the topic to the finish line.
Gryffin Winkler and Humera Kauser, for their editorial work.
Reiner and Vivek Sharma, for helping me understand the technical depth of Autonomous Database.
Hadi Syed and KNEX Technology, for their constant support.
And my family: my wife, my parents and my kids. Thank you for your patience, your blessings and your love. You are my biggest strength.
To the Oracle community,
A big part of this book comes from you: the questions in sessions and user groups, the conversations after talks, the “have you ever tried this?” messages. This community inspired a lot of what’s in these pages, and I hope the book gives something back.
Where to get it
💸 20% discount: use code APAUT at checkout.
One small request
If you read it, please tell me what you think. Which chapters helped, what was missing, what you’d like to see next. If it helps you, an honest review on the retailer page goes a long way for a new book. And if you know someone working with Autonomous Database, please pass it along.
Thank you for reading, and thank you for being part of this journey. Wishing you and your family a very happy and prosperous new year. 🪔
Thanks & Regards,
Chandan Tanwani
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