Tag Archives: Data Sets

Analytic Monitoring for the Internet of Things

By Peter Bailis, Stanford Infolab, and Sam Madden, MIT CSAIL An increasing proportion of data today is generated by automated processes, sensors and devices—collectively called the Internet of Things (IoT).   Inexpensive hardware, widespread access to communication networks, and decreased … Continue reading

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Urban Analytics for Smart Cities: Connecting Data to People

By Kristin Tufte, Portland State University “A Smart City is one where data and technology improve people’s lives.¹” Governments, NGOs and academic researchers are looking to data and analytics to create more livable cities. Ideas and innovation are flowering. The … Continue reading

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Rethinking Streaming: Correct State Matters!

by Nesime Tatbul, Intel Labs and MIT CSAIL; Kristin Tufte, Portland State University; and Stan Zdonik, Brown University Stream processing has largely been thought of as real-time analytics. Data enters the system as streams and analytic functions (aggregates) are computed on the … Continue reading

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Compiling Queries for High-Performance Computing

By Brandon Myers and Bill Howe, University of Washington High performance computing (HPC) is traditionally about compute, but its users have data management problems, too. In a recent paper, we demonstrated a promising technique for bringing ad hoc query processing into … Continue reading

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TileDB and GenomicsDB Now Available in Open Source

by Stavros Papadopoulos, Intel Parallel Computing Lab The ISTC for Big Data has recently released TileDB, a novel efficient data management system for scientific data, such as graphs, DNA sequences, matrices, maps, and imaging. We have also released an adaptation of TileDB … 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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Decibel: Dataset Branching for Collaborative Data Management

by Michael Maddox, MIT CSAIL, and Aaron J. Elmore, University of Chicago* In Big Data’s wake has come demand for tools to curate, manage and analyze shared datasets collaboratively. For instance, consider researchers in a social media company concurrently working … Continue reading

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2015: Momentum, Moments and Memories

Greetings of the season from the Intel Science and Technology Center for Big Data.  As 2015 comes to a close, we thought we would share some moments and memories that were captured here in the ISTC for Big Data blog … Continue reading

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Pushing the Boundaries of Visual Interactive Analytics

  As the volume, variety and velocity of data grow, data analysts struggle with asking and answering big questions of the data – even with the availability of increasingly sophisticated data visualization tools. It takes far too long for analysts … Continue reading

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The Changing Landscape of Data Systems

By Anant Bhardwaj, MIT CSAIL* Everyone continues to chase “Big Data” ─ from businesses to start-up companies to academic researchers. To understand better the changing landscape of data systems, I spent the last few months trying to learn about every data … Continue reading

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