An essential role in any data-driven organization, a data steward is expected to manage and protect valuable data resources while ensuring that the integrity...
Anomalous data can be disastrous to enterprise Data Management. Data corruption frequently occurs due to data silos or inconsistent data formats, divergent views of...
Data Architecture principlesare a set of policies that govern the enterprise data framework with its operating rules for collecting, integrating, using, and managing data...
Automated metadata tools can be used to develop and build business glossaries, graphs, and data catalogs. By eliminating the human factor, metadata errors can...
What role have Data Management and Data Architecture played in data-driven organizations, especially during the tumultuous and uncertain period at the beginning of the...
Data Quality Management is necessary for dealing with the real challenge of low-quality data. Data Quality Management can stop the waste of time and...
Metadata is of critical interest in today’s data-driven business environment, and there is a growing awareness of the need for both business and technical...
“The main purpose of a data model is actually not to design a database—it’s to describe a business,”
said Christopher Bradley, information strategist at DMA...
The more your business grows, the more complex your business’s Data Architecture becomes. Enterprise Data Architecture challenges abound – from the beginning and throughout...
