Tag Archives: RDBMS

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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Michael Stonebraker On Six Weeks of Turing Award Travels

ISTC for Big Data co-founder and MIT CSAIL professor Michael Stonebraker received the Association for Computing Machinery’s 2014 A.M. Turing Award for his contributions to the field of database management systems (DBMSs), including creating multiple successful database companies to commercialize … 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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ISTC to Unveil New Big Data Federation Architecture at VLDB 2015

At the upcoming Very Large Data Bases 2015 Conference in Hawaii, the Intel Science and Technology Center for Big Data will unveil its first big “capstone” project: a federated reference architecture that enables query processing over multiple databases, where each … 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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Graph Analytics: The New Use Case for Relational Databases

ByAlekh Jindal, MIT CSAIL Graph analytics are becoming increasingly popular with several new big-data application domains such as social networks, transportation networks, ad networks, e-commerce, and web search. However, these graph analytics workloads are seen as quite different from traditional database … Continue reading

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Benchmarking Graph Databases – Updates

By Alekh Jindal, MIT CSAIL After our last post about benchmarking graph databases, Neo Technology representatives contacted us and said that they repeated the shortest path queries on Neo4j with the Facebook dataset and they observed 2-4 orders of magnitude better … Continue reading

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Benchmarking Graph Databases

ByAlekh Jindal, MIT CSAIL Graph data management has recently received a lot of attention, particularly with the explosion of social media and other complex, inter-dependent datasets. As a result, a number of graph data management systems have been proposed. But … Continue reading

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