This is an authoritative guide to Doris, officially published by the Doris community
Key Features
- Go beyond installation to understand the engineering principles behind Apache Doris
- Explore real production use cases spanning data lakes, analytics, and AI workloads
- Learn practical techniques for designing resilient, high-performance analytical systems
Book Description
Apache Doris has emerged as one of the fastest-growing analytical databases for organizations that need real-time insights at scale. Built on an MPP architecture, Doris delivers high performance, low-latency analytics, and operational simplicity, making it a powerful choice for modern analytical data platforms. Officially authored by leaders from the Apache Doris community, this book provides a practical guide to understanding and implementing Doris. You'll begin with the fundamentals, learning how to install Doris, design efficient table structures, and manage data operations. You'll then explore its internals, including the storage and query engines, indexing mechanisms, high-concurrency query processing, data lake integration, and ecosystem components. Covering the latest Doris 3.x and 4.x releases, the book introduces AI Functions, Doris Skill, vector indexes, hybrid and semantic search, AI-powered analytics, and compute-storage separation, including its architecture, deployment models, and operational benefits. It also shares best practices for running Doris in production and building scalable real-time data warehouse solutions. By the end of this book, you'll be able to design, deploy, optimize, and operate modern analytical platforms using the latest Apache Doris capabilities.
What you will learn
- Install, configure, and get started with Apache Doris
- Design efficient table structures and data models
- Implement AI Functions, Doris Skill, and vector indexing
- Build semantic and hybrid search applications with Doris
- Understand Doris storage, query engine, and indexing internals
- Deploy and operate compute-storage separated Doris clusters
- Optimize production workloads for performance and scalability
- Build modern real-time analytics and data warehouse architectures
Who this book is for
This book is for data engineers, analytics engineers, database administrators, data architects, AI engineers, and technical decision-makers looking to implement high-performance analytical databases. It is also suitable for developers and big data practitioners who want to understand Apache Doris, AI-powered analytics, vector search, and its role in modern data lake and real-time data warehouse architectures. Readers should have a basic understanding of databases, SQL, and distributed data platforms.
