.1 Scalable Transaction Processing in Large Database Systems

Data drives knowledge which engenders innovation. Be it personalizing search results, recommending movies or friends, determining which advertisements to display or which coupon to deliver, data is central in improving customer satisfaction and providing a competitive edge. Data, therefore, generates wealth and many modern enterprises are collecting data at the most detailed level possible, resulting in massive and ever-growing data repositories. Such massive scale of data pose a number of research challenges, called big data challenges, which form the basis for my research. My research philosophy is to build database management systems (DBMSs) designed for large scale operations that expose abstractions to simplify application design while providing tools to ease system deployment and management. Using this philosophy as the cornerstone, my research has spanned the broad area of big data management encompassing both transaction processing and analytical processing systems exercising a synergy of both theoretical and practical system-oriented research.