'Database integrity' presentation slideshows

566 views • 41 slides

Chapter 10 Transaction Management and Concurrency Control

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SEMCOG Household Travel Survey: Data Processing and Reasonableness Checks

SEMCOG Household Travel Survey: Data Processing and Reasonableness Checks. Brian D. Mohr and Jilan Chen Southeast Michigan Council of Governments 11 th TRB Applications Conference Daytona Beach, FL May 8, 2007. * Detroit. St. Clair. Macomb. Oakland. Livingston. Washtenaw. Wayne.

356 views • 26 slides

SEMCOG Household Travel Survey: Data Processing and Reasonableness Checks

SEMCOG Household Travel Survey: Data Processing and Reasonableness Checks. Brian D. Mohr and Jilan Chen Southeast Michigan Council of Governments 11 th TRB Applications Conference Daytona Beach, FL May 8, 2007. * Detroit. St. Clair. Macomb. Oakland. Livingston. Washtenaw. Wayne.

262 views • 26 slides

Database Integrity The issue for making RNAV a real success

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Database Integrity The issue for making RNAV a real success

429 views • 25 slides

Database Integrity The issue for making RNAV a real success

422 views • 25 slides

Database Integrity

Database Integrity. DBMS Spring 2014. Sources: Security in Computing, Pfleeger and Pfleeger, Prentice Hall, 2003 Lecture Slides, CSE6243, MSU, Rayford B. Vaughn, 2005 http://www.postgresql.org/docs/9.0/static/ddl-constraints.html. First, a followup from Tues. R(A, B, C, D, E) with FDs

651 views • 19 slides

Top-level Schematics and Integration Status

Spice-level simulation strategy and Project tracking. Top-level Schematics and Integration Status. Top-level SPICE Sims Current top-level schematics Objectives: SPICE vs HDL Simulation strategy Preliminary results. Outline. Design Data Management EDA data sharing tools

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Database Integrity, Security and Recovery

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ADO.Net TableAdapters and TableAdapterManager

ADO.Net TableAdapters and TableAdapterManager. Code Camp 2008 Emmet Gray http://home.hot.rr.com/graye. Introduction. Strongly-typed DataSets Based upon DataSet and DataTable classes Wizard based (no need to hand code) Graphical view of the data Benefits Design-time type checking

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Constraints & Triggers

Constraints & Triggers. Active elements: executes as appropriate Database integrity: insert/delete/update # of students > 3.0 < 30% name should not have numbers or special characters We must have basic data (name, gender) about students who enroll in courses

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