futuredata stanford.edu

Stanford Future Data Systems Research Group

As rising volumes of data play an increasingly central role in society, data-intensive computing systems must evolve. The mission of the Future Data Systems group part of the Stanford Infolab. Is to 1. design and build post-database systems that enable next-generation data-intensive applications and 2. train world-class systems researchers. We are interested in two types of systems. Systems that are at least an order of magnitude better than the competition 10x systems. FDS includes Peter Bailis.
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Peter Bailis

I build and research data-intensive systems as a member of Stanford DAWN. And the Stanford Future Data Systems. An analytics engine for prioritizing attention in high-volume data. Tools and techniques for easy and efficient querying of large-scale video. Infrastructure for usable machine learning. Scalable data analytics for data-driven domain science. Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries. Sahaana Suri, Peter Bailis.

Secure Internet of Things Project SITP

The Secure Internet of Things Project is a cross-disciplinary research effort between computer science and electrical engineering faculty at Stanford University, UC Berkeley, and the University of Michigan. How will we integrate these enormous streams of physical world instrumentation with all of our existing data? How can pervasive sensing and analytics systems preserve and protect user security? .

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Stanford Future Data Systems Research Group

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As rising volumes of data play an increasingly central role in society, data-intensive computing systems must evolve. The mission of the Future Data Systems group part of the Stanford Infolab. Is to 1. design and build post-database systems that enable next-generation data-intensive applications and 2. train world-class systems researchers. We are interested in two types of systems. Systems that are at least an order of magnitude better than the competition 10x systems. FDS includes Peter Bailis.

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This site futuredata.stanford.edu states the following, "As rising volumes of data play an increasingly central role in society, data-intensive computing systems must evolve." We noticed that the website said " The mission of the Future Data Systems group part of the Stanford Infolab." It also stated " design and build post-database systems that enable next-generation data-intensive applications and 2. We are interested in two types of systems. Systems that are at least an order of magnitude better than the competition 10x systems."

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