Research Statement and Agenda
نویسنده
چکیده
The past decade has seen tremendous growth in both the volume of data and the complexity of analyses that organizations want to perform. Increasingly, these analyses are not performed by experienced database administrators but by domain experts that need simple ways to process their data without worrying about scalability and management limitations. To be useful for these users, new systems must simplify analyses and address performance bottlenecks at every step in the analysis pipeline. My work has focused on many of these bottlenecks — robust data ingestion [7], improving core query performance [3, 8, 11, 4, 2], supporting new forms of data and new domains [9, 5, 6, 1], summarizing and debugging query results [12, 13], and scaling up visualizations [10]. More broadly, my goal is to build scalable and useful data management systems for real people. This is reflected in my research approach, which emphasizes building end-to-end systems. I have tackled performance challenges ranging from low-level core database query performance optimization to speeding up high-level data cleaning and result debugging tasks. Such a comprehensive view is necessary in order to identify and address the most significant bottlenecks throughout the entire process.
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