![]() ![]() ![]() Examples of semantic metadata include the collection mapping to data sources, or classifications. The business metadata includes automated (for example, promoted from Power BI datasets, or descriptions from SQL tables) and manual tagging of descriptions, glossary terms, and so on. The technical metadata includes schema, data type, columns, and so on, that are discovered during Microsoft Purview scanning. Storage is the second component of Data Map and includes the storage of technical, business, operational, and semantic metadata. Keyword search returning results to search result page.Edit an asset to add business metadata such as description, glossary term, etc.Add a relationship to an asset such as owner, steward, parent, lineage, etc.They include any Create, Read, Write, Update, and Delete operations on metadata stored in the Data Map. Operations are the throughput measure of the Microsoft Purview Data Map. Each data Map capacity unit includes a throughput of 25 operations/sec and 10 GB of metadata storage limit. All Microsoft Purview accounts, by default, start with one capacity unit and elastically grow based on usage. The elastic data map has two components- metadata storage and operation throughput, represented as a capacity unit (CU). They scale up and down based on request load and metadata stored within the data map. The data map stays up to date with its built-in scanning and classification system.Īll Microsoft Purview accounts have a data map that starts at one capacity unit, and can elastically grow. It captures metadata about data present in analytics, software-as-a-service (SaaS), and operational systems in hybrid, on-premises, and multicloud environments. The Microsoft Purview Data Map provides the foundation for data discovery and data governance. ![]()
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