Data modeling is going back to the future! No, it doesn’t include a hoverboard (yet), but it does include some new datatypes that capture temporal and spatial information. In the past, datatypes were used to classify various types of data, whether integers, characters, or alphanumeric strings. With the technologies introduced in recent years, these basic datatypes can’t address everything – data modelers now need more specialized datatypes for specific needs and new formats.
Multiple database platforms have introduced new datatypes that can make it easier to support more advanced data concepts in physical data models. If you do not know about what new things are happening in the physical data modeling world, or what to do with them, Karen Lopez will discuss using a variety of new datatypes including:
Temporal, such as period, with keywords
Spatial, including geospatial
Others, incorporating JSON/BSON/UBJSON usage
About Karen Lopez
Karen López is 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 MVP, SQL Server, and a Dun and Bradstreet MVP.
InfoAdvisors is a Toronto-based data management consulting firm. We specialize in the practical application of data management. Our philosophy is based on assessing the cost, benefit, and risk of any technique to meet the specific needs of our client organizations.