Tag Archives: Analytics

The Big Data ISTC: A Retrospection by Michael Stonebraker, Samuel Madden and Timothy Mattson

The Big Data ISTC is a research project sponsored by Intel that ran for five years (August 2012- August 2017).  This blog post highlights some of the accomplishments and lessons learned during this period. Big data is usually categorized into … Continue reading

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ISTC Researchers to Present Papers at VLDB 2017 Conference

ISTC for Big Data principal Investigators, researchers, and their students will present a number of papers at the 2017 International Conference on Very Large Databases (VLDB 2017) in Munich, Germany, August 28-September 1, 2017.  (To read any of the papers, … Continue reading

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Improving Clinical Decision-Making with Big Data

An Interview with Peter Szolovits, MIT CSAIL Doctors, nurses and other healthcare professionals have always had to “read” and respond quickly to often-imperfect data under stressful circumstances. What has changed over time is the volume and types of data that … Continue reading

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ISTC Researchers Present Work at NEDB Day 2017

ISTC for Big Data principal investigators, researchers and their students presented work at North East Database Day 2017, held at MIT’s Stata Center in Cambridge, Mass., on January 27, 2017. Microsoft and Facebook sponsored the event. The 9th Annual North East … Continue reading

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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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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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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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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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Guaranteeing Query Runtimes for Analytics-as-a-Service

By Jennifer Ortiz and Magdalena Balazinska, University of Washington A variety of data analytics systems are available as cloud services today, including Amazon Elastic MapReduce (EMR), Redshift and Azure’s HDInsight. With these services, users have access to compute clusters that come … Continue reading

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