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Big Data Analytics 2013
Big Data Analytics 2013
This event is by invitation only.


May 23-24, 2013


Microsoft Research Cambridge, 21 Station Road, CB1 2FB, UK - directions and accommodations


We witness a rapid development of the research and technology for efficient processing of big data. There is a surge of commercial and open source platforms for big data analytics, including platforms for querying of massive datasets, batch processing, real-time analytics, streaming computations, iterative computations, graph data processing, and distributed machine learning. There have been some remarkable achievements on the side of designing scalable and efficient algorithms for processing of massive amounts of data, as well as on the side of architecture of systems and infrastructure. The goal of this workshop is to bring together researchers and system architects to discuss and identify the most important and challenging directions to push forward the area of algorithms and systems for big data. The topics of the workshop include but are not limited to computation and storage platforms, querying of massive datasets, sketches, streaming, scaling up distributed machine learning, iterative computations, and large-scale graph processing.


Related Links


  • Microsoft Research
    21 Station Road
    Cambridge CB1 2FB
    United Kingdom


  • Artur Czumaj, University of Warwick
  • Milan Vojnovic, Microsoft Research
  • Jingren Zhou, Microsoft

Local Arrangements

  • Cara Freeman, Microsoft Research