BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Optimizing big data analytics
DTSTART:20151221T100000
DTEND:20151221T120000
DTSTAMP:20260407T102714Z
UID:3dc29c5aa5fe688f763f7448d2d9f7ba4471fcace8ad3ecc94e14b4a
CATEGORIES:Conferences - Seminars
DESCRIPTION:Immanuel Trummer\, EPFL\nAbstract:\nWe are collecting data at 
 unprecedented rates. This data contains valuable insights but we need comp
 lex analytics to extract them. Our ability to generate data threatens howe
 ver to outgrow our capability to analyze it. In this context\, it becomes 
 crucial to exploit our computational resources in the most efficient way. 
 My research focuses on planning\, optimization\, and scheduling problems t
 hat occur in the context of data analytics. The ultimate goal is to save a
 nalytics users from daunting planning and configuration tasks and to explo
 it computational resources in the optimal way.\nIn this talk\, I will give
  an overview of my research in that space. I will discuss how the query op
 timization problem\, a core problem in the area of databases\, needs to be
  revisited in the context of big data analytics. The optimization problems
  that we encounter in big data analytics are often particularly challengin
 g. I will show how techniques such as approximation and massive paralleliz
 ation can help to tackle them. In the last part of my talk\, I will descri
 be my experiences when experimenting on the first commercially available q
 uantum computer\, the D-Wave adiabatic quantum annealer. I will show how I
  used that device to solve a classical analytics related optimization prob
 lem and elaborate on the long-term potential of quantum computing for anal
 ytics optimization.Biography:\nImmanuel Trummer is a PhD student at EPFL u
 nder supervision of Christoph Koch. His research led to various publicatio
 ns at the VLDB and SIGMOD conferences. His papers were invited for publica
 tion into the VLDB Journal (“Best of VLDB 2015”) and selected for the 
 ACM SIGMOD Research Highlight Award 2015. He received the European Google 
 PhD Fellowship 2015 in structured data analysis and is alumnus of the Germ
 an National Academic Foundation.
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR