Tag Archives: Array DBMS

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

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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

Posted in Analytics, Big Data Applications, Big Data Architecture, Data Management, Databases and Analytics, DBMS, Graph Computation, ISTC for Big Data Blog, Math and Algorithms, Streaming Big Data, Visualizing Big Data | Tagged , , , , , , , , , , , , | Leave a comment

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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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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Reflections on the First Year of the ISTC for Big Data

By Sam Madden, MIT CSAIL A year ago, Intel announced that our team had been selected to host the Intel Science and Technology Center in Big Data.  This seemed like a good opportunity to reflect on some of the awesome … Continue reading

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Advanced Array Analytics: Time Travel and Iterations

By Eugene Wu, MIT CSAIL One area of research focus for the Intel Science and Technology Center for Big Data is improving DBMS functionality for scientists. Not only do scientific databases such as SciDB have to iteratively analyze Big Data … Continue reading

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Evolving High-Performance Linear Algebra Software for Big Data

By Rebecca Yale Taft, MIT CSAIL One area of research focus for the Intel Science and Technology Center for Big Data is investigating the tight integration of array DBMSs with ScaLAPACK, a high-performance linear algebra software package, to create a … Continue reading

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Standardizing Query Access to Array Databases

By Rebecca Yale Taft, MIT CSAIL Array-based DBMSs are becoming more important for the scientific community because of the complexity and size of the databases that scientists usually work with. But to date, array-based systems have lacked a standardized query … Continue reading

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