Which three are capabilities of oracle cloud infrastructure data catalog service?

Data Catalog is a metadata management service that helps data consumers discover data and improve governance in the Oracle ecosystem.

With OCI Data Catalog, data analysts, data scientists, data engineers, and data stewards have a single self-service environment to discover the data that is available in the cloud sources. Data Catalog helps data providers create a data dictionary comprising of technical and business metadata. Data consumers can easily assess the suitability of data for analytics and data science projects.

Data Catalog Key Capabilities

• Harvest technical metadata from a wide range of supported data sources that are accessible using public or private IPs.
• Create and manage a common enterprise vocabulary with a business glossary. Build a hierarchy of categories, subcategories, and terms with detailed rich text descriptions.
• Enrich the harvested technical metadata with annotations by linking data entities and attributes to the business terms, user-defined properties, or adding free-form tags.
• Find the information you need by exploring the data assets, browsing the data catalog, or using the quick search bar.
• Automate and manage harvesting jobs using schedules.
• Integrate the enterprise class capabilities of your data catalog with other applications using REST APIs and SDKs.

Tip

Watch a video introduction to the service.

An understanding of the following concepts is essential for using Data Catalog.

Data AssetRepresents a data source, such as a database, an object store, a file or document store, a message queue, or an application.ConnectionIncludes necessary details to establish a connection to a data source. A connection is always associated to one data asset. A data asset can have more than one connection.Connection TypeDefines the different set of properties available in a connection to connect to a data asset.HarvestProcess that extracts technical metadata from your connected data sources into your data catalog repository.ObjectAn object in the Data Catalog refers to any object that is managed in your data catalog such as data assets, data entities, attributes, glossaries, and terms.Data ObjectA data object in Data Catalog refers to data assets and data entities.Data EntityA data entity is a collection of data such as a database table or view, or a single logical file. Typically, a data entity has many attributes that describe its data.Filename PatternA filename pattern is a regular expression that is created to group multiple Object Storage files into a logical data entity.Logical Data EntityA logical data entity is a group of Object Storage files that are derived by creating and assigning filename patterns to a data asset.AttributeAn attribute describes a data item with a name and data type. For example, a column in a table or a field in a file.Custom PropertyCustom property is created to enrich data catalog objects with business context.GlossaryA glossary is a collection of business concepts in your company. Glossary constitutes of categories and business terms.CategoryA category is created in a glossary to group logically related business terms. You can create a category within a category to group your terms.TermTerms are the actual definitions of business concepts as agreed upon by different business stakeholders in your company. You use terms to organize your data entities and attributes.Data Catalog TagTags are free-form labels or keywords you create to be able to logically identify data objects. Tags help in metadata classification and discovery. You create tags for data assets, data entities, and attributes. Using tags, you can search for all data objects tagged with a specific tag name.JobA task that runs the harvest process. A job can be created and run immediately, scheduled to run at a specified frequency, or created and run when needed.ScheduleAn automated job that can run hourly, daily, weekly, or monthly.

With search, data consumers can gain details on data assets to see whether they are fit for use. Additional details of different data objects are also available for further exploration.

Search and browse

Data consumers can search based on technical names, business terms, and tags, and use filters to find objects of interest.

Read more about search and browse

Browse objects based on system hierarchy

Through browsing, data consumers can easily locate data in the system hierarchy of available data sources, folders, files, and more.

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