Simplifying and Scaling Data Discovery

By Raul Castro Fernandez, MIT CSAIL People who need access to data for their jobs are spending more and more time searching for data of interest to the task at hand. This is particularly true for data-driven companies, where the … Continue reading

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Just-in-time Data Transformation and Migration in Polystores

by Aaron Elmore and Adam Dziedzic, University of Chicago Organizations face managing and deriving value from an ever-growing amount of data. Beyond its size, this data is often varied in both structure (e.g., relational data, linked data, numerical data and streaming data) … Continue reading

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ISTC for Big Data Researchers Present at NEDB Day 2016

ISTC for Big Data principal investigators and researchers presented a broad base of research at North East Database Day 2016, which was sponsored by Microsoft and held at MIT’s Stata Center in Cambridge, Mass., January 28, 2016. The 8th Annual North … Continue reading

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Query Modeling and Optimization in the BigDAWG Polystore System

By Jennie Duggan, Northwestern University At VLDB 2015, the ISTC for Big Data team presented a demo of the BigDAWG polystore system. This blog post highlights some of the research challenges we are exploring as we build this novel system. … Continue reading

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ISTC for Big Data Researchers Present Work at NEDB Day 2015

ISTC for Big Data principal investigators (PIs) and researchers presented a broad base of research work at New England Database Day 2015, which was sponsored by Microsoft and held at the Stata Center at MIT in Cambridge, Mass., on Friday, … Continue reading

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Building a New Application-to-Hardware Management Stack for Big Data

The Intel Science and Technology Center for Big Data partners – Intel Labs and its seven participating academic research institutions – recently unanimously agreed to focus their research on a pioneering effort: creating a new application-to-hardware big-data management stack. Unique in industry … Continue reading

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Enabling Interactive Data Exploration over Big Data

By Ugur Cetintemel, Brown University Interactive Data Exploration (IDE) has been a recent focus area of the Brown Data Management Group. This is an emerging form of data-intensive analytics in which users ask questions over a data set to make … Continue reading

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VLDB 2013: ISTC Faculty Members to Present Keynote and Five Papers

ISTC for Big Data faculty members and their students will present five papers at the 39th International Conference on Very Large Data Bases, August 26 to 30, 2013, in Riva del Garda, Trento, Italy. In addition, ISTC for Big Data … Continue reading

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BlinkDB: A Massively Parallel Query Engine for Big Data

By Barzan Mozafari, University of Michigan Ann Arbor* Today, if you have a few terabytes of data stored on your disk, even calculating a simple average can take up to a few days. Of course parallelism helps, but not too … Continue reading

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