Lecture
Data Management Challenges: Hardware and Query Optimization
Description
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.
This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.
Watch on MediaspaceOfficial source
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.