ASTERIX: an open source system for "Big Data" management and analysis (demo)
S. Alsubaiee, Y. Altowim, H. Altwaijry, A. Behm, V. Borkar, Y. Bu, M. Carey, R. Grover, Z. Heilbron, Y. Kim, C. Li, N. Onose, P. Pirzadeh, R. Vernica, und J. Wen.
Proceedings of the VLDB Endowment 5 (12): 1898--1901 (August 2012)

At UC Irvine, we are building a next generation parallel database system, called ASTERIX, as our approach to addressing today's "Big Data" management challenges. ASTERIX aims to combine time-tested principles from parallel database systems with those of the Web-scale computing community, such as fault tolerance for long running jobs. In this demo, we present a whirlwind tour of ASTERIX, highlighting a few of its key features. We will demonstrate examples of our data definition language to model semi-structured data, and examples of interesting queries using our declarative query language. In particular, we will show the capabilities of ASTERIX for answering geo-spatial queries and fuzzy queries, as well as ASTERIX' data feed construct for continuously ingesting data.

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@article{alsubaiee2012asterix,
  abstract = {At UC Irvine, we are building a next generation parallel database system, called ASTERIX, as our approach to addressing today's "Big Data" management challenges. ASTERIX aims to combine time-tested principles from parallel database systems with those of the Web-scale computing community, such as fault tolerance for long running jobs. In this demo, we present a whirlwind tour of ASTERIX, highlighting a few of its key features. We will demonstrate examples of our data definition language to model semi-structured data, and examples of interesting queries using our declarative query language. In particular, we will show the capabilities of ASTERIX for answering geo-spatial queries and fuzzy queries, as well as ASTERIX' data feed construct for continuously ingesting data.},
  acmid = {2367532},
  added-at = {2012-09-28T11:41:44.000+0200},
  author = {Alsubaiee, Sattam and Altowim, Yasser and Altwaijry, Hotham and Behm, Alexander and Borkar, Vinayak and Bu, Yingyi and Carey, Michael and Grover, Raman and Heilbron, Zachary and Kim, Young-Seok and Li, Chen and Onose, Nicola and Pirzadeh, Pouria and Vernica, Rares and Wen, Jian},
  biburl = {https://puma.uni-kassel.de/bibtex/2003f2654ae41861cfb77bf0353634ac3/jaeschke},
  interhash = {ae521b66302adb1b7df3f4cdb8d92181},
  intrahash = {003f2654ae41861cfb77bf0353634ac3},
  issn = {2150-8097},
  issue_date = {August 2012},
  journal = {Proceedings of the VLDB Endowment},
  keywords = {analysis asterix big data},
  month = aug,
  number = 12,
  numpages = {4},
  pages = {1898--1901},
  publisher = {VLDB Endowment},
  timestamp = {2012-09-28T11:42:36.000+0200},
  title = {ASTERIX: an open source system for "Big Data" management and analysis (demo)},
  url = {http://dl.acm.org/citation.cfm?id=2367502.2367532},
  volume = 5,
  year = 2012
}

%0 Journal Article
%1 alsubaiee2012asterix
%A Alsubaiee, Sattam
%A Altowim, Yasser
%A Altwaijry, Hotham
%A Behm, Alexander
%A Borkar, Vinayak
%A Bu, Yingyi
%A Carey, Michael
%A Grover, Raman
%A Heilbron, Zachary
%A Kim, Young-Seok
%A Li, Chen
%A Onose, Nicola
%A Pirzadeh, Pouria
%A Vernica, Rares
%A Wen, Jian
%D 2012
%I VLDB Endowment
%J Proceedings of the VLDB Endowment
%K analysis asterix big data
%N 12
%P 1898--1901
%T ASTERIX: an open source system for "Big Data" management and analysis (demo)
%U http://dl.acm.org/citation.cfm?id=2367502.2367532
%V 5
%X At UC Irvine, we are building a next generation parallel database system, called ASTERIX, as our approach to addressing today's "Big Data" management challenges. ASTERIX aims to combine time-tested principles from parallel database systems with those of the Web-scale computing community, such as fault tolerance for long running jobs. In this demo, we present a whirlwind tour of ASTERIX, highlighting a few of its key features. We will demonstrate examples of our data definition language to model semi-structured data, and examples of interesting queries using our declarative query language. In particular, we will show the capabilities of ASTERIX for answering geo-spatial queries and fuzzy queries, as well as ASTERIX' data feed construct for continuously ingesting data.

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