Assessment capabilities are evaluated against a pre-determined scale with established criteria. This is important because:
Deliverables in the document and content management context diagram include:
There are three basic approaches to implementing a Master Data hub environment, including:
Barriers to effective management of data quality include:
Referential Integrity (RI) is often used to update tables without human intervention. Would this be a good idea for reference tables?
Data architect: A senior analyst responsible for data architecture and data integration.
What ISO standard defines characteristics that can be tested by any organisation in the data supply chain to objectively determine conformance of the data to this ISO standard.
When trying to integrate a large number of systems, the integration complexities can
be reduced by:
Tools required to manage and communicate changes in data governance programs include
The data in Data warehouses and marts differ. Data is organized by subject rather than function
Wat data architecture designs represent should be clearly documented. Examples include:
Snowflaking is the term given to normalizing the flat, single-table, dimensional structure in a star schema into the respective component hierarchical or network structures.
Machine learning explores the construction and study of learning algorithms.
In data integration, the goal of data discovery is toc
Data science merges data mining, statistical analysis, and machine learning with the integration and data modelling capabilities, to build predictive models that explore data content patterns.
