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SUMMARY:RG Hannover: Mosaics in Big Data: Stratosphere, Flink and beyond,
DESCRIPTION:Referent: Volker Markl, TU Berlin\n\nAbstract: The global datab
 ase research community has greatly impacted the functionality and performan
 ce of data storage and processing systems along the dimensions that define 
 “big data”, i.e., volume, velocity, variety, and veracity. Locally, over th
 e past five years, we have also been working on varying fronts. Among our c
 ontributions are: (1) establishing a vision for a database-inspired big dat
 a analytics system, which unifies the best of database and distributed syst
 ems technologies, and augments it with concepts drawn from compilers (e.g.,
  iterations) and data stream processing, as well as (2) forming a community
  of researchers and institutions to create the Stratosphere platform to rea
 lize our vision. One major result from these activities was Apache Flink, a
 n open-source big data analytics platform and its thriving global community
  of developers and production users. Although much progress has been made, 
 when looking at the overall big data stack, a major challenge for database 
 research community still remains. That is, how to maintain the ease-of-use 
 despite the increasing heterogeneity and complexity of data analytics, invo
 lving specialized engines for various aspects of an end-to-end data analyti
 cs pipeline, including, among others, graph-based, linear algebra-based, an
 d relational-based algorithms, and the underlying, increasingly heterogeneo
 us hardware and computing infrastructure. At TU Berlin, DFKI, and the Berli
 n Big Data Center (BBDC), we aim to advance research in this field via the 
 Mosaics project. Our goal is to remedy some of the heterogeneity challenges
  that hamper developer productivity and limit the use of data science techn
 ologies to just the privileged few, who are coveted experts.\n\nTeilnahmege
 bühr: konstenfrei\n\nAnmeldung: nicht erfordelich
LOCATION:Leibniz Universität, Appelstraße 9a im15. Stock, 30167 Hannover
DTSTAMP:20180116T095305Z
DTSTART:20180119T130000Z
DTEND:20180119T143000Z
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