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SUMMARY:Escaping the tyranny of “OR” in Analytics
DTSTART:20190326T110000
DTEND:20190326T120000
DTSTAMP:20260930T211641Z
UID:a869b4d355909f207a54ec137d50ee0e5fd41ce81daf4de2a1185689
CATEGORIES:Conferences - Seminars
DESCRIPTION:Ippokratis Pandis\, Amazon Web Services\nRunning any large-sca
 le organization is about data\, specifically\, big data. While it has neve
 r been easier to collect and store data\, when it comes to analyzing data\
 , users face limited options. They need to decide between using a parallel
  data warehouse and a big data framework. In this talk we will present how
  Amazon Redshift combines the best of both worlds with Spectrum\, a featur
 e of Redshift. We will present the architecture of Redshift and Spectrum\,
  how Redshift processes fast queries from both local disks and Amazon S3\,
  and discuss challenges around and opportunities enabled with this archite
 cture.\n\nIppokratis Pandis  is a principal engineer at Amazon Web Servic
 es\, currently working on Amazon Redshift. Redshift is Amazon's fully mana
 ged\, petabyte-scale data warehouse service. Redshift Spectrum enables run
 ning Redshift queries against even larger volumes of data in Amazon S3. Pr
 eviously\, Ippokratis has held positions as software engineer at Cloudera 
 and member of the research staff at IBM Almaden Research Center. Ippokrati
 s received his PhD from the Electrical and Computer Engineering department
  at Carnegie Mellon University. He is the recipient of Best Demonstration 
 awards at ICDE 2006 and SIGMOD 2011\, Best Paper award at CIDR 2013 and Te
 st-of-Time award at EDBT 2019. He has served as PC chair of DaMoN 2014\, D
 aMoN 2015\, CloudDM 2016\, NorCal DB Day 2017\, and HPTS 2019.\n 
LOCATION:BC 410 https://plan.epfl.ch/?room==BC%20410
STATUS:CONFIRMED
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