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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ModelDB: A System for Managing Machine Learning Models

By Manasi Vartak, Harihar Subramanyam, Wei-En Lee, Srinidhi Viswanathan, Saadiyah Husnoo, Sam Madden and Matei Zaharia, MIT CSAIL Building real-world machine learning (ML) algorithms is an iterative process. A data scientist will build many 10s to 100s of models before arriving … 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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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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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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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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Big Data Research: Will Industry Solve all the Problems?

In her keynote talk at the upcoming Very Large Data Bases Conference, Professor Magdalena Balazinska of the University of Washington poses this controversial question. Is there a place for academic research in Big Data management and analytics or will industry … Continue reading

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