Despite the vast amounts of data being generated by organizations, the majority of this information is not well governed. This means that most data consumers have difficulty understanding where the information comes from, how it is organized, or how to utilize it for insightful analysis.
Data catalogs help to address these issues. They can allow data teams to centrally enforce rules, security, and access. It also helps to increase collaboration between team members, while allowing everyone to access and use the data they need to make strategic decisions.
A new generation of data catalogs is a step away from traditional models. These catalogs are not only scalable but they are also built with the needs of diverse users in mind.
The latest generation of data catalogs, sometimes referred to as Data Catalog 3.0, is a data management service that is scalable, cloud-native, and built with a microservices architecture. Using an approach similar to the Internet’s API layer, these data catalogs are able to scan databases in a systematic manner, resulting in the extraction of meaningful metadata.
Data catalogs are a great way to ensure that your data is always up to date, and that you have the right level of granular control. Providing a clear picture of your data, a data catalog can help you find and understand the relevant concepts.
A data catalog can be used by users from various backgrounds, including data engineers, product specialists, and business users. In addition to indexing data, it provides a predicate-based search experience, as well as the ability to see and manage data sources.
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