K. Forster

13.03.2017, 15 Uhr c.t. TU Berlin, EN building, seminar room EN 719 (7th floor), Einsteinufer 17, 10587 Berlin: Wildfire: Evolving Databases for New-Generation Big Data Applications (Guy Lohman, IBM Almaden Research Center (Retired

The rising popularity of large-scale, real-time analytics applications — such as real-time inventory and pricing, mobile applications that give you suggestions, fraud detection, risk analysis, etc. — emphasize the need for scalable data management systems that can handle both fast transactions and analytics concurrently. However, efficient processing of transactional and analytical requests require very different optimizations and architectural decisions in a system.
This talk presents 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 facilitate fast transactions as well as analytics concurrently.