报告题目：NoDB: Efficient Query Execution on Raw Data Files

报 告 人：杨庆

报告时间：2015年7月08日 上午 9：00

报告地点：贵州大学北校区博学楼603室

报告内容摘要：

Query directly raw files without loading. We introduce an adaptive indexing mechanism that maintains positional information to provide efficient access to raw data files, together with a flexible caching structure.

报告题目：Adaptive Query Processing on RAW Data

报 告 人：李婧

报告时间：2015年7月08日 上午 9：00

报告地点：贵州大学北校区博学楼603室

报告内容摘要：

This paper proposes adapting the query engine to the formats of raw data. It presents RAW, a prototype query engine which enables querying heterogeneous data sources transparently. RAW employs Just-In-Time access paths, which efficiently couple heterogeneous raw files to the query engine and reduce the overheads of traditional general-purpose scan operators. It also uses column shreds, ensuring that we pay these costs only for the subsets of raw data strictly needed by a query.