際際滷shows by User: manolee / http://www.slideshare.net/images/logo.gif 際際滷shows by User: manolee / Wed, 08 Oct 2014 17:27:11 GMT 際際滷Share feed for 際際滷shows by User: manolee Adaptive Query Processing on RAW Data /slideshow/adaptive-query-processing-over-raw-data/40040865 raw-vldb-141008172711-conversion-gate02
Presentation of RAW, a prototype query engine which enables querying heterogeneous data sources transparently using Just-In-Time access paths. Presentation given at the 40th International Conference on Very Large Databases (VLDB 2014)]]>
Presentation of RAW, a prototype query engine which enables querying heterogeneous data sources transparently using Just-In-Time access paths. Presentation given at the 40th International Conference on Very Large Databases (VLDB 2014)]]> Wed, 08 Oct 2014 17:27:11 GMT /slideshow/adaptive-query-processing-over-raw-data/40040865 manolee@slideshare.net(manolee) Adaptive Query Processing on RAW Data manolee Presentation of RAW, a prototype query engine which enables querying heterogeneous data sources transparently using Just-In-Time access paths. Presentation given at the 40th International Conference on Very Large Databases (VLDB 2014) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/raw-vldb-141008172711-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation of RAW, a prototype query engine which enables querying heterogeneous data sources transparently using Just-In-Time access paths. Presentation given at the 40th International Conference on Very Large Databases (VLDB 2014)
Adaptive Query Processing on RAW Data from Manos Karpathiotakis
]]> 572 1 https://cdn.slidesharecdn.com/ss_thumbnails/raw-vldb-141008172711-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-manolee-48x48.jpg?cb=1523160651 Experienced data management professional, soon to graduate from EPFL (PhD). Skilled in a variety of relational databases (IBM DB2, Oracle Database, MySQL, PostgreSQL, etc.) and big data frameworks (Spark, Hadoop, Hive, Cassandra, etc.). Interested in data management in the presence of data variety, and scale-out data analytics, exploiting just-in-time code generation and hardware accelerators (GPUs). karpathiotakis.net