Bridging the Gap between Relational OLTP and Graph-based OLAP

This course aims to teach learners how to bridge the gap between relational Online Transaction Processing (OLTP) and graph-based Online Analytical Processing (OLAP). The learning outcomes include understanding the challenges of performing dynamic graph analytical processing tasks on relational OLTP datasets in real-time and learning about the GART system, which extends hybrid transactional/analytical processing (HTAP) systems to support graph analytical processing (GAP). Students will acquire skills in transparent data model conversion through graph extraction interfaces, efficient dynamic graph storage design, and performance optimization techniques for GAP workloads. The teaching method involves presenting research findings, system design principles, and performance evaluations to demonstrate the effectiveness of the GART system in comparison to existing solutions. This course is intended for researchers, practitioners, and students interested in database systems, hybrid transactional/analytical processing, graph analytical processing, and performance optimization in data processing systems.