Performance Engineering for Data Systems
About this course
This Specialization equips data engineers and database professionals with comprehensive skills to optimize performance across SQL databases, data warehouses, and Apache Spark environments. Through eleven hands-on courses, learners progress from SQL query optimization and schema design to advanced topics including cloud infrastructure engineering, disaster recovery architecture, and distributed system tuning. You will analyze execution plans, implement strategic partitioning and caching, design cost-effective multi-cluster architectures, and apply Infrastructure as Code for resilient data platforms. By completion, you will possess the technical expertise to diagnose performance bottlenecks, optimize resource allocation, and build scalable data systems that deliver measurable business value while maintaining security and reliability standards.
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What you'll learn
- optimize SQL queries
- design effective data schemas
- implement cloud infrastructure solutions
- develop disaster recovery architectures
- tune distributed systems
- apply Infrastructure as Code in data platforms
Course objectives
- equip data professionals with performance engineering skills
- enable learners to diagnose performance issues
- support building scalable data systems
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