Tag Archives: Array DBMS

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

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

In-Database Analytics for Large Array Data

By Jack Dongarra,* Piotr Luszczek and Thomas Herault of the University of Tennessee, Knoxville  Performing analytics inside a database gets progressively important. In the context of SciDB, the data model involves arrays either fully populated (dense) or with empty entries (sparse). Very … 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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VisualCloud: A DBMS for Virtual Reality

By Brandon Haynes, Artem Minyaylov, Magdalena Balazinska, Luis Ceze and Alvin Cheung of the University of Washington Our ability to collect videos en masse can revolutionize how we interact with the world by enabling powerful virtual reality (VR) video applications … 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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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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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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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