Tag Archives: Array DBMS

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

Posted in Analytics, Big Data Architecture, Data Management, Databases and Analytics, DBMS, Graph Computation, ISTC for Big Data Blog, Polystores, Query Engines, Streaming Big Data | Tagged , , , , , , , , , | Leave a comment

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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Winning at Big Data: What’s Math Got to Do with It? (A Lot)

Big Data describes a new era in the digital age in which the volume, velocity and variety of data created across a wide range of fields – from Internet search and social media to finance and healthcare to defense and … Continue reading

Posted in Databases and Analytics, Graph Computation, ISTC for Big Data Blog, Math and Algorithms, Tools for Big Data | Tagged , , , , | Leave a comment

ISTC for Big Data: 2015 and Beyond

By Sam Madden, ISTC for Big Data Co-Director Happy New Year, ISTC for Big Data blog readers! It’s been a busy year here at the ISTC for Big Data.  In this post, I call out a few of our highlights … 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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GenBase: A Benchmark for the Genomics Era

By Rebecca Taft, MIT CSAIL* Genomics is quickly becoming the focus of many Big Data scientists due to the seemingly sudden availability of vast amounts of data.  As mentioned in a previous post, a single gene-sequencing facility can sequence 2000 … Continue reading

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