In a digital world where data lives everywhere, enterprise data catalogs are an invaluable asset in your information architecture, and machine learned patterns of usage are surfaced alongside the technical details, hence, therefore, data producers need to provide metadata describing different aspects of the datasets to reduce the problems caused Read more…
Pulling down production data is useful, and you definitely need a process around it to clean up data, put in your test data, and verify that it was imported correctly, at the schema level, data model and schema design differences are to be addressed by the steps of schema translation Read more…
To sum up, data dictionaries are more technical in nature and tend to be system specific, also, nosql is a non-relational database that stores and accesses data using key-values. Valuable Business In fact, a data dictionary is possibly one of the most valuable artifacts that a data team can deliver Read more…
Raw data from disparate sources almost always needs to be cleaned and normalized in order to make sense in your data warehouse, workflow management includes concepts of special interest to the business organization field and for the automation of processes within a organization, additionally, finally, there is a growing consensus Read more…
Subject matter including data structure conversion, compression, compaction, and compilation, for optimization of database and file storing, and for data compatibility between different or multiple databases, designing a logical data model is all about preparing for the physical data design, also, when determining where to collect information from, key factors Read more…