Exploring your data

Use these tabs to view different details and perform actions on the resource. You can also apply filters and edit the content of the pages displayed by these tabs.

• Summary tab

  Scan overview information about the resource, including the path details, associated and suggested resource tags, profiling status, resource owner, and description of the resource. See Data summaries.

• Details tab

  Explore detailed information about the table, including the column names, data types, length, keys, business terms, and owners. You can also apply filters and edit the details about the resource.

• Properties tab

  View the property name, description, and value details about the resource. You can also add and remove properties, apply filters, and edit the value of a property.

• Glossary tab

  Explore the business terms and business entities, and link information on the resource. You can also add and remove business terms or business entities, and apply filters.

Under the Tab views there are tools to rate the data, to see who is viewing the data, and to bookmark resources.

Item	Description
Rating	Highlights the popularity of the resource based on the overall user ratings and is a fair indication of the popularity of the resource, regardless of a low or high rating. It is a computed property, which is an average of all the ratings. A low rating highlights an issue with the resource, such as having incomplete data.
Bookmarks	You can mark a resource as a favorite by clicking the Bookmarks icon for a quicker future reference. See Bookmarking resources

Explore key metrics and metadata for insights into the selected resource to make quick decisions. The processing engine discovers the resource metadata, and the AI engine calculates other data. Depending on your selected resource, you may view the following information panels:

Key Metrics panel

Metadata attributes about the data source are shown. The AI engine uses these attributes to provide a deeper insight into the resource. Each of these discovered and calculated attributes are described below. For example, when you request access to a resource, a high-sensitivity level will promptly warrant a thorough check of the permission and access levels of your user role.

Sensitivity

Computed metadata attribute that identifies the sensitivity of the resource. The sensitivity is based on the highest sensitivity level of any term (field or resource) associated or suggested on the resource. If the AI engine identifies a single term with high sensitivity, the resource sensitivity is automatically set to high (High Sensitivity icon). Sensitivity levels are defined as follows:

Icon	Level	Description
	High	Identifies highly-sensitive data for personally identifying information, such as bank account numbers, SSN, PAN, credit card numbers, and employee IDs.
	Medium	Identifies medium sensitivity for data like names, addresses, and marital status.
	Low	Identifies low sensitivity for data that may be personally identifiable but with lower sensitivity.
	Non-sensitive	Identifies data that AI has determined is not sensitive because no sensitivity label was associated with that resource after processing and curation.
	Unknown sensitivity	Identifies data that needs to be processed to determine the sensitivity.

Activity

A computed attribute measuring how well this resource is curated in terms of content updates performed on the resource like description, lineage, tags, and reviews. The amount of the Activity icon that is filled indicates the level of curation, as follows:

Level	Description
High	Curation level is more than 30 and is considered high.
Medium	Curation level is between 10 and 30.
Low	Curation level is less than 10.
None	Not curated.

Lists the resource profile status of jobs that run on the resource. Click the displayed status of a profiled source to view the details and the timestamp of the last update.

• Profiled

  The discovery job(s) ran successfully. Displays the time stamp of the last successful profile job.

• Not Yet

  When no Data Catalog job has processed the file yet.

Lists associated discovered and suggested business terms for the resource. If no terms are associated with a resource, you can click Add Term to open the Business Terms dialog box and add terms on the resource. Both associated and suggested terms are listed with any "overflow" terms indicated by an overflow number link. Click this link to display all the terms in a separate dialog box.

Lumada Data Catalog discovers seven resource properties by default. The Source Properties panel summarizes the Properties tab by listing the properties, including the connection, resource type and name.

Provides information about discovered metadata in a field including the data type and frequency.

Data statistics for the column are shown in a donut chart. The donut chart specifies how much of the data are null values .

Data Catalog assigns the mixed data type to a given field after examining the data in that field. For example, you may have a date of birth (DOB) data chart. One of the discovered data type resources in the Data field is string, but the donut chart displays two different inferred data types: string and Boolean. In the dob field for another resource, the discovered data type is string and the donut chart displays that Data Catalog infers both string and dateTime data types. Examining the corresponding sample values reveals that all values have some sort of date format. This feature is controlled by a flag in profiling for number and date formats and is described in Managing configurations in the Administration Guide.

The value distributions of the data are shown in a frequency graph. The frequency graph indicates the number of times a given value appears in a data sample. The value field shows the 20 most frequent values for that entity.

Feature	Description
Min	The minimun value in the column.
Null Count	Number of entries that are null.
Date Time Count	The time and date counts found in the field.
Selectivity	The ratio of Cardinality to the total number of values in the field, that is, the percentage of unique values. Use this field characteristic along with the Cardinality value when selecting a good seed for tagging. See Cardinality and selectivity calculations.
Max	The maximum value in the column.
Value Count	Total number of records in that file. The value distribution in each field is shown in the frequency graph.
String Count	When string data is found in the field, this indicates the number of strings.
Cardinality	The number of unique values in a field, where a low cardinality number indicates many repeated values. Use this field characteristic along with the Selectivity value when selecting a good seed for tagging. See Cardinality and selectivity calculations.
Density	The ratio of the Null Count to the Max count. Indicates the density of the data without the null values, where a number denotes that many rows are missing data for this field.

Displays the original name of the database for a table or the field name and value for a column level resource. Information on whether the selected item is nullable, the column size, the cata type, and the database name are displayed. You can click View All to see detailed information on the Properties page for the resource.

Data Catalog offers rich fields metadata in graphical formats like donut charts, value histograms, and unique value counts to help you to quickly analyze data. Data Catalog also provides quality metrics and sample values in addition to profiled samples. You can view the metadata for the most frequent values from each field and the quality metrics such as maximum, minimum, cardnality, and selectivity are calculated on all field values during profiling.

To open a data type profile, navigate to the column in the resource that you want to view and click it to explore the field-level data.

When viewing column details, you can see the resource field-level metadata along with data analysis, discovered and seeded or accepted field tags, cardinality for fields, and sample values. To show metadata in the resource field, you need native access to the resource or metadata level as governed by the RBAC settings for your user role.

Depending on the selected resource level or data element, you can view different summaries of information, including the following resource metrics:

Description

Displays a description of the resource that is imported from the source. You can contribute resource information to the knowledge base to write content and include links to other articles in Lumada Data Catalog. You can also access and communicate the usage history of the resource. To edit a description, click Edit Description. You can use rich text formatting in the Description dialog box for content with formatted text: font style, size, color, bold, and italic), mathematical formulas, code blocks, highlighting, quote blocks, links, and inline images. You can also use the description text in a search string to search Data Catalog for resources containing similar strings.

Imported Description

Displays the description imported from the resource. You cannot edit imported descriptions. They are either imported from Hive/JDBC descriptions when processing these resources or via API calls for non-Hive/JDBC resources.

Data Quality

Communicates detailed data quality metrics for fields as derived from business rules. Trend indications reflect recent changes in the associated metric.

• Accuracy reflects the reality of the data and its conformity with a verifiable source.
• Completeness indicates whether the data is sufficient to be meaningful and actionable.
• Consistency is a measure of the same information, stored and used at multiple instances, matching values.
• Uniqueness indicates whether the information is the only recorded instance in the data set used.
• Validity provides hints about the value attributes available for aligning within a range or requirement.

Data Lineage

Provides a snapshot of the upstream sources and downstream destinations of the resource.

Data Patterns

Displays the common data patterns profiled by Data Catalog and frequency in the form NN-AN-AAAA when viewing a field. Special separator characters are also included, such as N for a numeric character and A for alphanumeric to identify the different distributions.

If your user role does not permit you access to the field or viewing level of the information, the Data Patterns pane will not be displayed.

Sample Data

Shows the most frequently occurring values for the field along with the frequency and distribution when viewing a column. Text names and values are truncated after 256 characters. If your data includes strings that have only numbers, such as zip codes, Data Catalog displays the values as numbers without leading zeros. You can identify resources that have been sample-profiled and other resource-level information.

To view this pane, your role must allow Sample Data Access through native system permissions.

If your user role has administrative privileges, you can configure these values. If not, contact your administrator for details.