Tag Archives: Earth Sciences

ISTC for Big Data 2016 Research Highlights

In 2016, ISTC for Big Data principal investigators, researchers and their students continued to break down the barriers to data analytics at scale, with creative new approaches and infrastructure software. Developments are being integrated into BigDAWG, the next-generation polystore architecture … Continue reading

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PipeGen: A Data Pipe Generator for Hybrid Analytics

By Brandon Haynes, Alvin Cheung, and Magdalena Balazinska, University of Washington As the number of big data management systems continues to grow, users increasingly seek to leverage multiple systems in the context of a single data analysis task. A critical challenge … Continue reading

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Interactive Search and Exploration over Large Multidimensional Data

by Alexander Kalinin, Ugur Cetintemel and Stan Zdonik of Brown University In the Big Data era, professionals across scientific areas need efficient, interactive ad-hoc data analysis. Ideally, they need generic and reusable systems tools for interactive search, exploration and mining … Continue reading

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ForeCache: Raising the Bar in Big Data Visual Exploration

By Leilani Battle, MIT CSAIL In many discussions with scientists across a variety of specialties, we have found that interactive visualizations are important tools for helping people make sense of massive amounts of data. In particular, interactive visualizations are critical … Continue reading

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Improving Query Speeds on Vital Industry Big Data Sets

The Intel Science & Technology Center for Big Data is working on many ways to make it easier to access, store, manage and perform analytics on big, gnarly data sets that are vital to major fields of research. One way … Continue reading

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Making Big Data Visualization More Accessible

A Multi-Institution Initiative The Intel Science & Technology Center for Big Data is devoting a lot of time and people to data visualization. We want to make data visualization more interactive. The process of exploring large datasets is inherently interactive; … Continue reading

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Unleashing NASA MODIS Data for Earth and Ocean Scientists

By Leilani Battle, MIT CSAIL; James Frew, University of California, Santa Barbara; and Bill Howe, University of Washington With the massive influx of data streaming in from telescopes, satellites, sequencers, imagers and other instruments, research in the physical and biological … Continue reading

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