Keeping track of your organization’s data is critical. However, it is not always easy. The task can be aided by a data catalog. It is a tool for managing and retrieving your data, as well as analyzing its quality and origin.
A data catalog has become the new gold standard for metadata. It is often a part of an overall data strategy, which includes an assessment of resources and a KPI plan.
Data owners play a vital role in the development of a data catalog. This includes making sure that your data is accurate and complete. Moreover, it is necessary to maintain the metadata in a catalog so that your data will be able to be found.
Data catalogs are also used to analyze the data’s origin, structure, and relationships with other data. This helps users find related data across multiple databases.
Data profiling is another tool that helps data consumers understand data quickly. It reviews the structure and content of the data assets, and alerts analysts when there are problems.
The first generation of data catalogs focused on static entities. Today, this approach has been expanded to include an inclusive framework that accommodates a wide variety of data teams.
In addition, the modern data catalogs also allow for democratic access. These tools provide a unified view of the entire enterprise’s data assets. They are built on top of a knowledge graph, which facilitates relationships between data assets.
As the demand for analytics continues to increase, the need for better data management and governance is increasing. Consequently, organizations are trying to modernize their data stacks. This includes moving data to new systems and altering processes.
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