Events

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25-27 May 2010Get Ready for DataRage 2! May 25-27, 2010
Web Seminar     5/25/2010 8:00 AM - 5/27/2010 5:00 PM
7 Apr 2010
DataRage is three days of 100% online technical sessions focused on database development and data management issues which you can attend from wherever you like to log in.

Articles

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DateTitleAuthorType
3 Sep 2009 MassMutual's SQL Preprocessing Efficiencies
Review how MassMutual examples that have been proven to not only save developers time, but also result in error-free code.
Michael Findling Article
3 Sep 2009 How Embarcadero Database Tools Fit into the Development Life Cycle of Databases Part I& II
Learn what products you can help with the modeling and development phases of the SDLC for databases.
Michael Findling Article
3 Sep 2009 The Right Tools Just in Time: How to Best Position Yourself for Perpetual Fire Fighting
This session introduces the tools that any master craftsman should have handy to best position yourself for any fire fighting situation.
Michael Findling Article
3 Sep 2009 Using Database Tools to Meet Information Security Requirements
This session covers tagging of data assets per regulatory requirements (for example: FISMA, HIPAA, etc.) and shows how DSAuditor reports on who accessed the data.
Michael Findling Article
3 Sep 2009 Making Sense of the Mess: Building & Publishing a Data Dictionary
This session describes the process of analyzing existing data structures, of integrating stakeholders in order to agree upon a common set of definitions, and of publishing a data dictionary in an easily accessed, Web format.
Michael Findling Article
3 Sep 2009 Exploring the Data Dictionary in ER/Studio Enterprise
This session will take an in depth look into the data dictionary system of ER/Studio and how it can benefit data architects and their models.
Michael Findling Article
2 Sep 2009 Getting the Most from JBuilder and Rapid SQL Developer
Learn how to use these two products together successfully.
Michael Findling Article
2 Sep 2009 Universal Data Models and Patterns:
Developing Higher Quality Data Models in Less Time
Michael Findling Article
2 Sep 2009 Building a Repository of Database Changes
Plug-ins for Change Manager
Michael Findling Article
2 Sep 2009 Five Classic Data Modeling Mistakes & How to Avoid Them
Karen Lopez reviews five classic and all-too-common data modeling mistakes that are easy to make and yet just as easy to avoid
Michael Findling Article

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