Quick Answers From Large Data

  • Rob DeLine, Microsoft; Lori Stone, Microsoft

Tempe is an interactive system for exploring large data sets. It accelerates faster machine learning by facilitating quick, iterative feature engineering and data understanding. Tempe is a combination of three technologies:

  • Trill: a high-speed, temporal, progressive-relational stream-processing engine 100 times faster than StreamInsight.
  • WINQ: a layer that emulates LINQ but provides progressive queries—providing “best effort” partial answers.
  • Stat: an interactive, C# integrated development environment that enables users to visualize progressive answers.

The combination of these technologies enables users to try and discard queries quickly, enabling much faster exploration of large data sets.

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