dataspread.github.io

Dataspread

Dataspread combines the intuitiveness and flexibility of spreadsheets and the scalability and power of databases. Scale to an Arbitrary Number of Rows. Use SQL Queries within Spreadsheets. Declare and Use Tables. Data Analytics for the 99%. DataSpread addresses these limitations by holistically unifying spread-sheets with databases. Preserving spreadsheets as the front-end, and databases as the back-end. Instead of computing formulae individually, DataSpread uses shared computation to batch formulae comp...

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Dataspread combines the intuitiveness and flexibility of spreadsheets and the scalability and power of databases. Scale to an Arbitrary Number of Rows. Use SQL Queries within Spreadsheets. Declare and Use Tables. Data Analytics for the 99%. DataSpread addresses these limitations by holistically unifying spread-sheets with databases. Preserving spreadsheets as the front-end, and databases as the back-end. Instead of computing formulae individually, DataSpread uses shared computation to batch formulae comp...

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Dataspread | dataspread.github.io Reviews

https://dataspread.github.io

Dataspread combines the intuitiveness and flexibility of spreadsheets and the scalability and power of databases. Scale to an Arbitrary Number of Rows. Use SQL Queries within Spreadsheets. Declare and Use Tables. Data Analytics for the 99%. DataSpread addresses these limitations by holistically unifying spread-sheets with databases. Preserving spreadsheets as the front-end, and databases as the back-end. Instead of computing formulae individually, DataSpread uses shared computation to batch formulae comp...

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Dataspread

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Dataspread combines the intuitiveness and flexibility of spreadsheets and the scalability and power of databases. Scale to an Arbitrary Number of Rows. Use SQL Queries within Spreadsheets. Declare and Use Tables. Data Analytics for the 99%. DataSpread addresses these limitations by holistically unifying spread-sheets with databases. Preserving spreadsheets as the front-end, and databases as the back-end. Instead of computing formulae individually, DataSpread uses shared computation to batch formulae comp...

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forwarddatalab.org

Kevin Chen-Chuan Chang - Forward Data Lab

http://www.forwarddatalab.org/kevinchang

Professor, Computer Science, University of Illinois at Urbana-Champaign. 201 N Goodwin Avenue. Urbana, IL 61801-2302. E-mail: kcchang (at) illinois (dot) edu. Kevin C.C. Chang is a Professor in. University of Illinois at Urbana-Champaign. Where he leads the FORWARD Data Lab. For search, integration, and mining of data. He received a BS from. A startup from the University of Illinois, for deepening vertical "data-aware" search over the web. January 2017) What is a "community"? Congrats Vincent and Hongyun!

data-people.cs.illinois.edu

Aditya Parameswaran@UIUC

http://data-people.cs.illinois.edu/index.html

Info Extraction and Integration. I am an assistant professor of Computer Science at the University of Illinois (UIUC). My research interests are broadly in. Simplifying and improving data analytics. Ie, helping users make better use of their data. My work involves building real data analytics systems with principled foundations, designing algorithms (with formal guarantees) for the systems, as well as mining data obtained from such systems. Four best-of-conference citations (VLDB 2010, KDD 2012, ICDE 201...

data-people.cs.illinois.edu

Aditya Parameswaran@UIUC

http://data-people.cs.illinois.edu/query.html

Info Extraction and Integration. Interactive and Approximate Analytics. December 10, 2016) Update: Please head on over to the. For the latest on approximate visualization work, to the. For the scalable spreadsheet work, and to the. For the versioning and collaborative analytics work. This page is no longer actively maintained. DataHub: Collaborative Dataset Version Management at Scale. NeedleTail: A System for Browsing. Smart Drill-Down: An Interactive Exploration Operator.

forwarddatalab.org

Forward Data Lab

http://www.forwarddatalab.org/home

FORWARD: Far-Out Reach to Worldwide Access and Retrieval of Data. Or, if you wish, Fairly Obsessed in the Romance of the Web And Relational Databases. Group focuses on data access and retrieval, led by Professor Kevin C.C. Chang. At the Computer Science Department. The University of Illinois at Urbana-Champaign. S public portal on our research. January 2017) What is a "community"? What distinguishes one community from another? We proposed the interesting problem of community profiling. 1,795,429,.

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dataspread.github.io

Dataspread

Dataspread combines the intuitiveness and flexibility of spreadsheets and the scalability and power of databases. Scale to an Arbitrary Number of Rows. Use SQL Queries within Spreadsheets. Declare and Use Tables. Data Analytics for the 99%. DataSpread addresses these limitations by holistically unifying spread-sheets with databases. Preserving spreadsheets as the front-end, and databases as the back-end. Instead of computing formulae individually, DataSpread uses shared computation to batch formulae comp...

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