7 Dangerous Myths DBAs Believe about Data Modeling

by Sep 2, 2015


How much does your DBA really know about data modeling?

Data modeling can simplify routine tasks and provide valuable context for a database implementation – every data architect knows this. However, DBAs often have some preconceived notions of what they think data modeling can (or can’t) do for them, such as generating useful DDL code. Data professionals need to work together with DBAs to improve awareness and ensure data modeling stays relevant in today’s complex data landscapes.

7 Dangerous Myths DBAs Believe about Data Modeling
Thursday, September 10, 2015
11:00am Pacific / 2:00pm Eastern

This 90-minute session will provide specific insights and examples to show DBAs how a data modeling tool can help them improve database performance. Karen Lopez and John Sterrett will debunk 7 dangerous myths that DBAs believe about data modeling, and also discuss and demonstrate:

  • Challenges DBAs encounter with data modeling
  • What data modeling really means and how it adds value
  • Why data modeling is key to successful agile projects
  • How data model-driven development saves time and money
  • Why data modeling should be done throughout the development lifecycle


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