Kolloq. Pinar Tozun, topic: Evolving Databases for New-Gen Big Data Applications
Monday, 13th of March 2017, 1:30 pm FMI 02.09.014 (MI-Building, Campus Garching)
The rising popularity of large-scale real-time analytics applications (real-time inventory/pricing, mobile apps that give you suggestions, fraud detection, risk analysis, etc.) emphasize the need for distributed data management systems that can handle fast transactions and analytics concurrently. Efficient processing of transactional and analytical requests, however, require different optimizations and architectural decisions in a system. This talk will present the Wildfire system, which targets Hybrid Transactional and Analytical Processing (HTAP). Wildfire leverages the Spark ecosystem to enable large-scale data processing with different types of complex analytical requests, and columnar data processing to enable fast transactions and analytics concurrently.
Pinar Tozun is a research staff member at IBM Almaden Research Center. Before joining IBM, she received her PhD from Ecole polytechnique federale de Lausanne (EPFL). Her research focuses on HTAP engines, performance characterization of database workloads, and scalability and efficiency of data management systems on modern hardware. She received a Jim Gray Doctoral Dissertation Award Honorable Mention in 2016. During her PhD, she also spent a summer in Oracle Labs (Redwood Shores, CA) as an intern. Before starting her PhD, she received her BSc degree from Computer Engineering department of Koc University in 2009.