Collab365 GlobalCon4
Deep Dive into the Common Data Service (CDS)
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In this session, we will review the origins, history, and architecture of the Common Data Service. We will see how some of the inheritance of their SQL 2000 based ancestors still show up today, and how they impact us. We will also discuss some of the complexities of the data modelling on the CDS, and what is the impact of all those options we have when creating new entities. We will review How and When to use some of the different particular data types and their limitations. Finally, we will discuss some of the crucial design decisions when building your data model.
KPMG International
I am technologist with extensive experience in enterprise software across vendor, system integrator and customer side. I have worn many hats: developer, technical lead, pre-sales and solutions architect. As a result, I have a thorough understanding of issues and complexities around technology strategy, sales, and delivery. Particularly, on Customer Management and ERP platforms where I have focused most of my career. I excel at helping organisations delivering innovation to increase value for customers and optimise operations. I am a resourceful problem solver and excellent communicator, able to influence and connect across all levels of an organisation. I have built high performance teams, and I like mentoring and coaching others to help them achieve their goals. In my spare time I enjoy reading about technological disruption and business transformation topics. As a new dad, I love spending time with my family and trying to improve my running.
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In this session, we will review the origins, history, and architecture of the Common Data Service. We will see how some of the inheritance of their SQL 2000 based ancestors still show up today, and how they impact us. We will also discuss some of the complexities of the data modelling on the CDS, and what is the impact of all those options we have when creating new entities. We will review How and When to use some of the different particular data types and their limitations. Finally, we will discuss some of the crucial design decisions when building your data model.
KPMG International
I am technologist with extensive experience in enterprise software across vendor, system integrator and customer side. I have worn many hats: developer, technical lead, pre-sales and solutions architect. As a result, I have a thorough understanding of issues and complexities around technology strategy, sales, and delivery. Particularly, on Customer Management and ERP platforms where I have focused most of my career. I excel at helping organisations delivering innovation to increase value for customers and optimise operations. I am a resourceful problem solver and excellent communicator, able to influence and connect across all levels of an organisation. I have built high performance teams, and I like mentoring and coaching others to help them achieve their goals. In my spare time I enjoy reading about technological disruption and business transformation topics. As a new dad, I love spending time with my family and trying to improve my running.
