5 Key Considerations for Data Modeling

By: Tim DelChiaro

Abstract: Learn about the five key considerations for effective data modeling

Click here to see the companion webinar

According to a recent report from SINTEF, an independent research organization in Scandinavia, 90% of all the data in the world has been generated over the last two years. Where does it all go? And how do we make sense of it all? To get control of the data, you have to know more about that data and how it relates to other data. Data modeling provides the infrastructure needed to capture the right level of information about the data and its associated metadata.

In this webinar, Torquil Harkness will discuss five key considerations for effective data modeling, including:

  • Aspects of model design
  • Attributes such as naming standards
  • The importance of planning for future growth

 

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