On-Demand Webinar:
7 Dangerous Myths DBAs Believe about
Data Modeling
Many DBAs may only know enough about data modeling to be dangerous. There are a number of challenges that DBAs face when trying to do data modeling, as well as some preconceived notions of what they think data modeling can (or can’t) do for them, such as generating useful DDL code.
This 90-minute on-demand webinar provides specific insights and examples to show DBAs how a data modeling tool can help them improve database performance. Data modeling can simplify routine tasks and provide valuable context for a database implementation. Karen Lopez and John Sterrett debunk seven dangerous myths that DBAs believe about data modeling, and also discusses and demonstrates:
- 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
About the Speakers:
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Karen Lopez is the Senior Project Manager and Architect at InfoAdvisors. She has more than twenty years of experience in helping organizations implement large, multi-project programs. She is a Microsoft SQL Server MVP, specializing in data modeling and database design. She is a frequent speaker, blogger and panelist on multiple topics including data quality, logical and physical modeling, and data compliance.
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John Sterrett is a Database Administration Senior Advisor at Linchpin People with over eight years of experience with relational databases. His primary focus includes performance tuning, proactive monitoring, high availability and disaster recovery. He has presented at many community events, including PASS Member Summit, SQLRally, 24 Hours of PASS, SQLSaturday, and local PASS Chapter and Virtual Chapter meetings.
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