![]() This could comprise a user-friendly name for the dataset, a description about the data, additional notes or even user reviews. In addition to the technical metadata, data managers and, in some cases data consumers, can add a layer of user-added metadata to describe the data further. ![]() The metadata captured by crawlers is the technical metadata and it includes the name of the dataset, its type, its location and the schema of the data (e.g. The journey of metadata in Xplore starts at data discovery, where crawlers discover the DataSets on a DataStore and pull their metadata into Xplore. How does Xplore facilitate metadata management? Well-managed metadata also promotes data quality, integrity and reliability. If you compare your dataset to a book, the metadata of your dataset would include the book title, the author’s name, the ISBN, the publication date, a description of the book and possibly some user reviews! Metadata, when managed properly, makes your dataset more discoverable and helps users assess if the dataset is relevant for their needs even before they access the data itself. It is information that describes various aspects of your data, but not its content. What is metadata and why is it important? In the second article, we looked at Data Classification in Xplore and its pivotal role in organising the firm’s data, making it more efficient to search and navigate and reducing redundancies and inconsistencies which would otherwise compromise data quality. In our first article, we cast the light on Data Discovery in Xploreexplaining how essential it is for finding the different data assets in the firm and exploiting existing datasets for use by as many data consumers as possible. In this third issue of a series of articles about Xplore, our Data Discovery and Metadata Management platform, we focus on metadata management.
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