Intel and the ISTC for Big Data (2012-2017): A Powerful Collaboration

By Jeff Parkhurst, Ph.D. and Timothy G. Mattson, Ph.D., Intel  The year 2012 was arguably the year that Big Data went mainstream. Data was being hailed as a new class of economic asset, similar to currency or gold, from the … Continue reading

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ISTC Releases Open Source Code for BigDAWG Polystore System

By Dr. Tim Mattson, Intel and Dr. Vijay Gadepally and Kyle O’Brien, MIT Lincoln Laboratory Today, the ISTC for Big Data released the first version of BigDAWG, our polystore system for simplifying integration and analytics of disparate data at scale. BigDAWG is … Continue reading

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Supercharging Big Data Research with New England’s Fastest Supercomputer

An Interview with Jeremy Kepner of MIT Lincoln Laboratory MIT recently announced that the MIT Lincoln Laboratory Supercomputing Center (LLSC) system, housed in Holyoke, Massachusetts, has been ranked the most powerful supercomputer in New England. We caught up with ISTC … 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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Polystore Databases to be Examined at IEEE, CIDR Conferences

Polystores, a more-modern approach to sharing heterogeneous data that addresses Big Data’s volume, variety and velocity demands, will be the topic of discussion at two upcoming conferences: The first IEEE Workshop on Methods to Manage Heterogeneous Big Data and Polystore Databases, … 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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Genomics Data, Analytics and the Future of Climate Change

By Vijay Gadepally, MIT CSAIL, in collaboration with the Chisholm Laboratory at MIT Meet Prochlorococcus marinus, a marine cyanobacterium that’s intricately linked to the global carbon cycle, widely present in seawater, and possibly holds secrets to future climate change. These … Continue reading

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PolyPEG: A Proposal for Polystore Optimization

By Dylan Hutchison, Bill Howe, Dan Suciu, and Zachary Tatlock, University of Washington There has been a “cambrian explosion” of systems and languages for large-scale data analytics:  Postgres and H-Store accept SQL queries; Datomic and Myria accept Datalog; SciDB accepts … 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

Posted in Analytics, Big Data Applications, Big Data Architecture, DBMS, ISTC for Big Data Blog, Polystores, Query Engines, Streaming Big Data, Tools for Big Data, Visualizing Big Data | Tagged , , , , , , , , , | Leave a comment