Calcite Data Management and SQL Optimization Practical Guide

In modern data architecture, managing multiple data sources and optimizing queries across different storage engines is a critical challenge. Calcite solves this by providing a powerful, flexible framework for SQL parsing, translation, and optimization. This text-based course guides you through the core architecture of Calcite, enabling you to build custom query engines and optimize complex data flows. You will start with the fundamental concepts of relational algebra and AST generation, progress to custom schema adapters, and learn to write your own optimization rules. What you will learn: Understand the core architecture of Calcite including parsers, validators, and operators; Build custom adapters to query diverse data sources using standard SQL; Implement cost-based and heuristic optimization rules for query execution; Apply modern data management patterns including materialization and query rewriting; Practice writing custom SQL functions and integrating them with the Calcite planner. The course begins with foundational database concepts and SQL compilation theory before moving into hands-on implementation patterns and optimization strategies. This course is designed for backend engineers, data platform developers, and database enthusiasts who want to understand the inner workings of query engines; no prior compiler experience is required. Start mastering query optimization and build smarter data platforms today.