Search Results for "general purpose data analysis"
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Showing 8 open source projects for "general purpose data analysis"
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Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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Evologic2011 is a generic, no-DDL, all-purpose database schema for Oracle. It is embeddable into database centered software projects. It can serve as the base for company wide information system. The front ends are provided by separate SF projects.
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ViSoR provides a visualization of several social indicators, statistics and crimes for the Ruhr Area in Germany. It allows users to view and compare particular suburbs or regions in this area.
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Goal of our project CSX (City Stats X) is to program a generic interface to visualize and present social data about a city. We will present this on the example of the city of Linz in Austria.
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The application Crimeblips provides up-to-date crime statistics for Berlin (Germany). It maps and visualizes crimes, allowing users to identify crime hot spots, trends and general patterns. Bayesian algorithms are used to extract relevant information.
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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The Genomic Diversity and Phenotype Data Model (GDPDM) captures molecular and phenotypic diversity data. MySQL databases are used to implement the schema. This project develops software tools (written in Java, Perl, etc.) associated with this model.
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Analysis and interactive visualization of a web-based community. Supports different focuses on the given social network to present community groups to the user. Also specific information of each member is provided.
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Project: JOraStat Language: Java , Oracle PL/SQL OS: Any operating system that supports Java JDK 1.4.1 and Oracle 9i R2 Purpose: Create Oracle database performance trend analysis reports and charts. Features 1. Generates reports using Oracle 9i R
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studiMaps is a web based application for visualization and analysis of social networks. It consists of two software components: a web-crawler for getting data and the web based application for visualization.
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