DataHub, A Hosted Data Platform for Large-Scale Analytics, in Process of Being Deployed at MIT

If you’re responsible for data analysis, data mining, business intelligence, statistical applications, predictive analytics, or related matters for your organization, you’ve probably felt one or more of these frustrations: You have access to an interesting large data set (inside or … Continue reading

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Interactive Visualization of Big Data

By Leilani Battle, MIT CSAIL and Justin DeBrabant, Brown University Almost all areas of science are moving to a more data-driven analysis pipeline, where large multidimensional datasets need to be explored and analyzed for possible insights. The process of exploring … Continue reading

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Enabling Interactive Data Exploration over Big Data

By Ugur Cetintemel, Brown University Interactive Data Exploration (IDE) has been a recent focus area of the Brown Data Management Group. This is an emerging form of data-intensive analytics in which users ask questions over a data set to make … 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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Optimizing Transaction Processing for In-Memory Databases on Large Multicore Machines

By Stephen Tu, MIT CSAIL When people think of “big data” storage systems, they generally think of huge clusters with hundreds of machines working together to serve a large distributed datastore. To this end, lots of people in both academia … Continue reading

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