Data Management Challenges: Hardware and Query Optimization

This lecture by the instructor covers critical challenges in data management, focusing on hardware changes and query optimization. Topics include workload distribution, data preparation, query-driven data sanitization, and hybrid transaction and analytical processing. The lecture also discusses techniques for harnessing accelerator-level parallelism, building just-in-time databases, and executing on CPU+GPU. Additionally, it explores data virtualization, setting priorities in academia, and effective strategies for dealing with procrastination and work-life balance.