Document databases enable an extremely flexible data model for faster and more iterative development. At the same time, however, the data model you design can seriously speed up or slow down your application.
The Software Developer Guide to Data Modelling Document Databases Read More »
Application developers must support unprecedented rates of change – functionality must rapidly evolve to meet customer needs and respond to competitive pressures. To address these realities, developers are increasingly selecting NoSQL document-oriented databases (e.g. Azure DocumentDB, MongoDB, CouchDB) for schema-free, scalable and high performance data storage. One of the most often mentioned benefits of NoSQL
Data Models for NoSQL Databases Read More »
Metadata management is critical for organizations looking to understand the context, definition and lineage of key data assets. Data models play a key role in metadata management, as many of the key structural and business definitions are stored within the models themselves. Can data models replace traditional metadata solutions? Or should they integrate with larger
Data Modeling & Metadata Management Read More »
Data modelling is considered a staple in the world of data management. The skill of the data modeler and their knowledge of the business plays a large role in successful Enterprise Information Management across many organizations. Data modeling requires formal accountability, attention to metadata and getting the business heavily involved in data requirement development. These
Data Modelling is Data Governance Read More »
Data warehousing commonly implies complex data flows, either because of the large number of steps data transformations may consist of, or of the different types of data they carry. These issues rise interesting challenges concerning design-oriented modeling of data warehousing flows with UML.
Model Data Warehousing Flows with UML Profiles Read More »