Distributed SQL Optimization with SingleStore

As data volumes grow, traditional databases struggle to deliver the real-time performance that modern applications demand. Designing and optimizing queries for distributed, cloud-native databases requires a fundamental shift in how you structure schemas and write SQL. This course equips you with the foundational knowledge to harness the massive parallel processing power of SingleStore. You will transition from writing standard queries to architecting high-performance, distributed database solutions that scale seamlessly. What you'll learn: - Understand SingleStore architecture, distributed storage engines, and data distribution mechanics. - Design optimized schemas using strategic sharding, shard keys, and primary keys. - Analyze distributed query execution plans to identify bottlenecks and performance pain points. - Apply advanced indexing strategies, including columnstore indexes and modern vector search concepts for AI workloads. - Utilize performance monitoring and benchmarking techniques to continuously tune SQL queries. The journey begins with essential terminology and the foundational mechanics of distributed databases before moving into practical schema design and advanced query optimization strategies. Through clear written explanations and realistic SQL examples, you will learn how to design, monitor, and tune your database configurations for maximum efficiency. This course is designed for database developers, data engineers, and SQL analysts who are new to SingleStore and want to build high-performance applications. Basic familiarity with standard SQL is recommended. Start optimizing your distributed database workloads today.