Date & Time:
April 4, 2019 3:30 pm – 4:30 pm
Location:
Crerar 390, 5730 S. Ellis Ave., Chicago, IL,
04/04/2019 03:30 PM 04/04/2019 04:30 PM America/Chicago Raul Castro Fernandez (MIT) – Data Discovery: Unleashing the Value of Data Crerar 390, 5730 S. Ellis Ave., Chicago, IL,

Data Discovery: Unleashing the Value of Data

Organizations use only a small portion of all data they own. Consequently, most of the potential value is untapped. This happens because their analysts suffer a data discovery problem: when solving a task that requires data, analysts spend more time finding the relevant data than solving the task at hand. The core problem is that there is not adequate infrastructure to support the many different discovery problems organizations face. Hence, finding data remains largely a manual and time-consuming process.

In this talk I'll present Aurum, a system that radically changes how users interact with their organizations' data. With Aurum users can solve discovery problems in minutes instead of weeks. To achieve this, Aurum has three novel features: 1) it makes data discovery programmable so users can solve many different discovery problems by writing different programs; 2) it solves data discovery queries fast, so users can solve their problems in minutes instead of weeks; 3) it scales to large amounts of data, so no relevant data is left behind. In addition, I'll explain how Aurum handles not only structured data such as tables in databases, data lakes, and spreadsheets, but also unstructured data such as PDF files, word documents, and even conversations from Slack channels.

I'll conclude with a vision for how to make data easier to work with and to program, a key ingredient needed to exploit all data available in organizations and enable new applications.

Host: Aaron Elmore

Raul Castro Fernandez

Assistant Professor, Department of Computer Science

In my research I build high-performance systems for discovering, preparing, and processing data. I often use techniques from data management, statistics, and machine learning. At MIT I work with professors Sam Madden and Mike Stonebraker. Before MIT, I completed my PhD at Imperial College London with Peter Pietzuch.

Related News & Events

UChicago CS News

Five UChicago CS Students Named to Siebel Scholars 2023 Class

Sep 22, 2022
UChicago CS News

High School Students in College Prep Program Visit UChicago CS

Aug 23, 2022
UChicago CS News

New 2022-23 Faculty Add Expertise in Linguistics, Visualization, Economics, and Data Science Education

Aug 11, 2022
UChicago CS News

UChicago CS Faculty Receive Industry Grants From J.P. Morgan, Google

Jul 19, 2022
UChicago CS News

UChicago London Colloquium Features Data Science, Quantum Research

Jul 01, 2022
Video

Data Science Institute Summit

Jun 15, 2022
UChicago CS News

UChicago CS Chair Michael Franklin Part of SIGMOD Award-Winning Team

Jun 15, 2022
UChicago CS News

DSI Summer Lab Returns In-Person With 49 Students From Across the U.S.

Jun 14, 2022
In the News

WiGRAPH Features Asst. Prof. Rana Hanocka on Her Research and Career Path

May 11, 2022
UChicago CS News

University of Chicago Named in National Science Foundation’s $20 Million CONECT Award under the Forthcoming ACCESS Program

Apr 27, 2022
UChicago CS News

UChicago CS Labs Join Museum of Science & Industry For Robot Block Party

Apr 20, 2022
UChicago CS News

Junchen Jiang Wins CAREER Award to Study Using ML to Optimize Video Experiences

Mar 24, 2022
arrow-down-largearrow-left-largearrow-right-large-greyarrow-right-large-yellowarrow-right-largearrow-right-smallbutton-arrowclosedocumentfacebookfacet-arrow-down-whitefacet-arrow-downPage 1CheckedCheckedicon-apple-t5backgroundLayer 1icon-google-t5icon-office365-t5icon-outlook-t5backgroundLayer 1icon-outlookcom-t5backgroundLayer 1icon-yahoo-t5backgroundLayer 1internal-yellowinternalintranetlinkedinlinkoutpauseplaypresentationsearch-bluesearchshareslider-arrow-nextslider-arrow-prevtwittervideoyoutube