Practical Lakehouse Architecture

Preface

It’s 2024—the year of AI!

Just like 2023 and 2022, and a few years before that.

In today’s world, AI is everywhere. But AI needs data. Data that is of good quality. Data that is discoverable. Data that humans and machines can easily consume.

But how do we ensure that we make such data available?

By implementing robust data platforms that ingest, store, and maintain this data to democratize it with all its users.

Today’s best-in-class, data-driven organizations leverage AI and heavily depend on data. They have invested in modern data platforms that support their current and future demands. Modern data platforms need modern data architectures, like lakehouses, to support their BI to AI needs.

Lakehouse architecture—the main topic of this book—leverages technology advancements to simplify data platform design and enables organizations to build scalable and open platforms. Lakehouse has gained popularity in the last few years, with several organizations, product vendors, and data practitioners implementing their platforms using this architecture. There won’t be a better time to explore, understand, and evaluate the lakehouse for your use cases, and this book can help you get started on your journey.

Who Should Read This Book?

This book is for all data practitioners who handle large volumes of data and are responsible for designing and implementing modern data platforms.

This book is a comprehensive guide for data architects and can help them understand key considerations, ...