Avoiding Commond Data Modeling Mistakes for SQL Server


Join SQL Server MVP and President of PASS, Kevin Kline as he:

  • Identifies the issues that can arise from relying only on modeling tools
  • Discusses the 10 most common modeling issues you will face when transforming data models from logical (conceptual) to physical
  • Describes how to correctly identify and resolve serious problems
  • Provides best practices to resolve issues


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