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BEGIN:VEVENT
SUMMARY:CANCELLED: [Systems talk]: "Compressed Text with Random Access"
DTSTART:20220629T140000
DTEND:20220629T150000
DTSTAMP:20260407T055547Z
UID:0b478ff11a29a9676c0d00952d038e3594ebabc89bb773e838f47c61
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Peter Boncz  \nTextual strings are very commonly presen
 t in real-world data sets\, where they often occupy a large fraction of th
 e space while they are relatively slow to process for data systems. Fast S
 tatic Symbol Table (FSST) is a new lightweight compression scheme for such
  text strings. FSST offers decompression and compression speed similar to 
 or better than the best speed-optimised compression methods\, such as LZ4\
 , while giving a better compression ratio. Moreover\, its use of a static 
 symbol table allows random access to individual\, compressed strings\, ena
 bling lazy decompression as well as processing tasks directly on compresse
 d data. These features make FSST a valuable piece in the standard compress
 ion toolbox.\n\nBio\nPeter Boncz is professor at VU Amsterdam and research
 er at CWI\, where he oversees three research groups. He received the 2009 
 VLDB 10 Years Best Paper Award for his work on the database architecture f
 or modern computer hardware (also the theme of the DaMoN workshop he co-fo
 unded in 2005). In 2013 he received a Humboldt Research Award and became f
 ellow at TU Munich. He also works on graph data management\, co-founding a
 nd chairing the Linked Database Benchmark Council (LDBC)\, a benchmarking 
 organization for graph database systems. His PhD thesis project\, advised 
 by Martin Kersten\, yielded MonetDB\, a pioneering column store which even
 tually won the 2016 ACM SIGMOD systems award. In 2008 he co-founded Vector
 wise\, based on the concept of vectorized query execution that has since b
 een broadly adopted in industry. He received the Dutch ICT Regie Award 200
 6 for his role in the CWI spin-off Data Distilleries. He provides advice t
 o industry including Databricks\, who are now present in Amsterdam\, and t
 he latest CWI spin-off\, around the highly popular embedded analytics syst
 em DuckDB.\n 
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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