Is Big Data Analytics beyond the Reach of Small Companies?

Yang Cao, Wenfei Fan, Tengfei Yuan

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Big data analytics is often prohibitively costly. It is typically conducted by parallel processing with a cluster of machines, and is considered a privilege of big companies that can afford the resources. This position paper argues that big dataanalytics is accessible to small companies with constrained resources. As an evi-dence, we present BEAS, a framework for querying big relations with constrained resources, based on bounded evaluation and data-driven approximation.
Original languageEnglish
Pages (from-to)1-7
Number of pages6
JournalData Analysis and Knowledge Discovery
Issue number9
Publication statusPublished - 27 Jul 2017

Keywords / Materials (for Non-textual outputs)

  • Big data analytics
  • Bounded evaluation
  • Data-driven approximation
  • Constrained resources


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