{"id":171035,"date":"2012-10-18T14:31:33","date_gmt":"2012-10-18T14:31:33","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/project\/big-data-analytics\/"},"modified":"2019-08-19T14:57:01","modified_gmt":"2019-08-19T21:57:01","slug":"big-data-analytics","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/big-data-analytics\/","title":{"rendered":"Big Data Analytics"},"content":{"rendered":"

\"\"We conduct research in the area of algorithms and systems for processing massive amounts of data. Our work aims at pushing the boundary\u00a0of\u00a0computer science\u00a0in the area of algorithms and systems for large-scale computations. Our mission is to\u00a0achieve\u00a0major technological breakthroughs\u00a0in order to facilitate\u00a0new\u00a0systems and services relying on efficient processing of big data.<\/p>\n

Research Areas<\/h1>\n

\"\"Database queries –<\/b> How can we efficiently resolve database queries on massive amounts of input data? Here the input data may be presented in the form of a distributed data stream.<\/p>\n

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\"\"Machine learning<\/b> – How can we efficiently solve large-scale machine learning problems? Here the input data may be massive, stored in a distributed cluster of machines.<\/p>\n

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\"\"Distributed computing<\/b> – How can we efficiently solve large-scale optimization problems in distributed computing environments? For example, how can we efficiently solve large-scale combinatorial problems, e.g. processing of large scale graphs?<\/p>\n

Talks<\/h1>\n<\/div>\n\t
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