Faheem Mitha (93100), Herodotos Herodotou (200121), Nedyalko Borisov (200124) et al. · Figshare · 2016
<p><i>Geno Single</i> database schema for the Affymetrix platform. In this diagram, the rectangles correspond to database tables, and the rows in each rectangle correspond to database table columns. The four columns in a row correspond to, from left to right, database name (column 1), data type (column 2), primary key indicator (column 3), and foreign key indicator (column 4). The arrows correspond to foreign keys. Observe the number of arrows leaving a table is equal to the number of columns that are foreign keys in that table.</p>
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Marcel Friedrichs (17271172), Cassandra Königs (17271175) · Figshare · 2023
<p>Full relational database schema for NAR database entries, their annotations, and general website data.</p>
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Ying Siong Clement · 2003
Rule Them All-Log analysis is an integral part of effective security management. The logs that an organization keeps are only as useful as the rigor of analysis that they are subject to. That rigor would have to stand up to both the voluminous amount of logs as well as the myriad of logs within an organization that carry security information. Fortunately, another problem of similar veins has been solved years before in the business world by the means of OLAP (Online Analytical Processing) and the technology has been featured in seve...
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Jessica Ruyle, Eroma Abeysinghe, Sudhakar Pamidighantam et al. · OSF Preprints (OSF Preprints) · 2020
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Claire M Curry, Eroma Abeysinghe, Jessica Ruyle et al. · OSF Preprints (OSF Preprints) · 2023
Design of the database storing tag, animal, location, and tag read data.
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Venkata Suresh B (444587), Mehanathan Muthamilarasan (425347), Gopal Misra (425348) et al. · Figshare · 2015
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Ramez Elmasri · Encyclopedia of Database Systems · 2017
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lp krishnan, Linda K. Nicholson · 2016
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Michel Raflik, Bernd Pätzold · 1990
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Rachel Pottinger · Encyclopedia of GIS · 2016
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Kevin Chiang (5663836), Jiang Shu (747596), Janos Zempleni (232032) et al. · Figshare · 2015
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John Burke, Jon F. Ericson, Ardvas Mousessian · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
The Science Data Processing System (SDPS) application, described herein as an example, has had a long development cycle. The SDPS application incorporates IDL, C++, and Perl programming languages, with significant use of an Oracle Relational Database Management System (RDBMS). The time involved from initial design, 1996, to operational deployment, on July 15<sup>th</sup>, 2004, with the launch of the Aura spacecraft, spans several releases of the Oracle RDBMS. New database versions usher in new features and performance enhancements, sometimes requiring modifications to custom application code to take full advantage of improvements in technology. For a project with an aggressive release schedule, major redesigns of the custom code could jeopardize the successful completion of mission criteria. Over time, higher throughput requirements and hardware improvements in the application computing infrastructure revealed database performance bottlenecks due to increased scanning frequency of ever-growing tables and indexes. The Distributed Schema (DS) database redesign successfully addressed the database scalability and performance limitations, with only minor SIPS application changes and no changes to the TES SDPS application.
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PEREZ, Jerome · IRD · 2022
ECOMED Database structure schema
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Matthew A. Richards (609976), Victor Cassen (609977), Benjamin D. Heavner (609978) et al. · Figshare · 2015
<p>This graph shows the connections between the 6 main tables, Organisms, Compounds, Media_Names, Biomass, Sources, and Growth_Data. Also shown are Media_Compounds and Biomass_Compounds, linking tables that connect the Compounds table to the Media_Names and Biomass tables, respectively. Arrows indicate foreign key relationships, in which the head of the arrow points to the primary key being referenced. A full map of the MediaDB schema containing all tables and their connections can be found in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0103548#pone.0103548.s001" target="_blank">Figure S1</a>.</p>
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Bhawna (725772), Pavan K. Chaduvula (725773), Venkata S. Bonthala (725774) et al. · Figshare · 2015
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Huaze Xie (16679149), Da Li (194457), Yuanyuan Wang (20181) et al. · Figshare · 2023
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Williams, Mark, Xinyuan Wang · 2024
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Lukáš Berka · Digital Repository (National Repository of Grey Literature) · 2007
The bachelor thesis discribes design and implementation of database schema documentation generator. It uses Schemagic application to create wellarranged documentation in user-defined output format. Schemagic is used to load information about schema into a XML document. For output documentation HTML, PDF, Postscript, RTF, DocBook and FO (XML file of formating objects) formats are supported. The Gendok application also generates some graphic information, e.g. graphs of dependencies between tables.
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Branislav Hudec · Digital Repository (National Repository of Grey Literature) · 2008
The main goal of this diploma thesis is to design and implement an application that would be capable of searching for differences between two database schemas. There are many uses for such tool, but there is one that is the most common. Two database schemas are created with the same SQL script, so they are equal at the beginning. A user can later add or modify database objects in one of the schemas, so the schemas may not be equal anymore. The implemented tool can find the differences between the schemas and present the results to the user in various formats (diff tree in GUI, XML, and text). The most valuable form of output is undoubtedly an SQL script. The purpose of the SQL script is the synchronization of the two schemas. The user can execute such script in a database containing the second schema, and the second schema will be modified according to the first schema.
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Akshay Singh (2886134), Ajay Kumar Sharma (3174012), Nagendra Kumar Singh (2826122) et al. · Figshare · 2017
<p>Schema showing different tables with their comprehensive unique key and data type information in each table available in PpTFDB.</p>
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