These data were defined as the master data.
The expectations for the master data asset availability are defined in terms of synchronization between the client applications and the master data set as well as between the components of the master data set itself.
This chapter introduces basic architectures for master data management and shows how to deal with master data using Microsoft Master Data Services MDSS), a product included in Microsoft SQL Server.
The chapter provides an overview of the goals in master data management in the context of data warehousing, its drivers and compares operational and analytical master data.
Marketers need to master data analytics, customer experience, and product design.
ISO 8000-1x0 specifies how to add this information to the master data messages.
The architecture includes management of master data, business metadata, and other key enterprise data services.
An important aspect of data warehousing projects is the definition of master data.
This chapter examines typical master data management usage scenarios as well as the conceptual architectural paradigms.
