Data Objects in Detail

Databases

The databases display the list of schema’s objects, along with Queries, Codes, Functions, Views, Procedures, Triggers, Synonyms, and other query types of a Schema in separate tabs at the bottom of the page.

Here are additional attributes displayed on the schema-level summary page alongside the fundamental attributes explained earlier.

Attributes
Description

Row Count

The row count at the schema level displays the total number of rows across all tables within that particular schema.

Table Count

Displays the total number of tables in a Schema.

Last Anomaly Detection Date

Displays the date and time when a data anomaly was last detected on the data object

9-Dots Action Items specific to Databases

Actions
Meta Read
Meta Write

Profile

Profile Unprofiled Tables

Profile & Detect Anomalies

Tables

Tables, topics, and views are included as a part of Tables. The table summary page displays a complete list of table columns associated with the table and their profiling attributes, shown in a convenient list view.

Below are additional attributes presented on the Table-level summary page alongside the fundamental attributes explained earlier.

Attributes
Description

Row Count

The row count at the schema level displays the total number of rows across all tables within that particular schema.

Column Count

Displays the total number of columns present within that specific table.

Type

Specifies whether it falls into the categories of Tables, Views, or Materialized Views.

Has Relation

Indicates whether the table has relationships. Yes implies the presence of relationships; No indicates the absence of relationships.

Density

Indicates the degree to which a table is filled with unique values. It is the proportion of distinct values compared to the total values in the table. A higher density suggests more unique values, while a lower density indicates a more repetitive or uniform set of values.

Density formula - (Distinct Count / Total Count)*100.

Null Density

Displays the ratio of null values to total values in a table.

Null Density formula - (Null Count / Total Count)*100

9-Dots Action Items specific to Tables

Actions
Meta Read
Meta Write

Profile

Profile & Execute Anomaly Detection

View in Query Sheet

Table Columns

The left panel menu displays all columns associated with a table and allows sorting and viewing based on preferences.

Each Table Column has a dedicated summary page with attribute details highlighting its distinctive characteristics. Lineage provides visibility at the column level, whereas pattern relationships provide a deeper understanding of how different data elements are interconnected within the application.

Here is the list of exclusive tabs associated with Table Columns.

  • Relationships: It displays a tabular list of all relationships gathered from remote sources via Primary Key - Foreign Key relationships, through advanced jobs, or manually added using the "Add Relationships" button within the application.

  • Pattern Relationships: It identifies and displays the connections between table columns by analyzing data patterns. During profiling, pattern-matching algorithms detect matching patterns, such as repeated values or specific data structures. Pattern match score of secondary column = (Count of rows with matching patterns to the base column* 50 ) / row count of the secondary table.

Below are additional attributes displayed on the Table-level summary page alongside the fundamental attributes explained earlier.

Attributes
Description

Length

Represents the maximum number of characters or bytes it can store.

Key

Identifies if it is a Primary key or a Foreign Key.

Data Type

It denotes whether the column denotes an integer, varchar, char, date, time, boolean, decimal, float, text, etc.

Nullable

Table Columns are configured to permit or restrict null values at the time of creation at the remote source. If set to True, a column can have null values, signifying the absence of a value. Conversely, if set to False, a column must have a complete set of data and cannot contain blank cells.

Has Relation

Indicates whether the table has relationships. Yes implies the presence of relationships; No shows the absence of relationships.

Distinct Value/Percentage

Refers to unique values not repeated in a data object or column. It helps to understand the uniqueness of the data object.

Minimum Value

Displays the lowest value from all the records in the column.

Maximum Value

Displays the highest value of all records in the column.

Empty Count

Displays the number of empty records in a table column.

Zero Count

Displays the number of records with values as ‘0’.

Null Value Count/Percentage

Null Value refers to the number of null or missing values in a specific column.

Is Masked

Indicates whether a column has been subjected to any masking policies.

Is Restricted

Prevents unauthorized access by making the data object completely invisible or inaccessible when the option is applied. Only authorized users can view or interact with the data object.

Top Values

The Top Values section displays the table column's top 50 profiling statistics, which are repetitive.

The Top Values only display the top 5 profiling statistics, but clicking “View All Values” displays the remaining ones.

9-Dots Action Items specific to Table Columns

Actions
Meta Read
Meta Write

Profile

Profile & Execute Anomaly Detection

View in Query Sheet

Files

The Data Catalog stores the first-level folders fetched from remote data sources directly, but subsequent sub-folders and files are not initially cataloged; instead, their file structure is stored in the File Manager module. Catalog all sub-folders and files to the Data Catalog directly from the File Manager.

Here is the list of exclusive tabs associated with Files.

  • Cataloged Files (Folder): It displays the Sub Folders and Files within a folder.

  • Folder Analysis (Folder): It provides valuable insights into the composition and arrangement of a selected folder in a connector.

  • Data (only for profiled File formats): The Data tab for Files is available only for the file types that can be profiled. They are: .csv, .json, .parquet, .orc, .xlsx, .xls, .avro, .gz.

  • Sub Files (xlsx): The Sub Files tab is present in .xlsx format and shows all the sheets available for an Excel file.

Below are additional attributes presented on the File level summary page alongside the fundamental attributes explained earlier.

Attributes
Description

Type

Denotes whether it is a File or Folder.

File Size

Size of a specific file (not a folder) in bytes.

Remote Tags

Displays the list of tags assigned to the data object at the remote source.

9-Dots Action Items specific to Files

Actions
Meta Read
Meta Write

Catalog all the subfolders (Folder only)

Catalog all the files (Folder only)

Profile folders assuming same content (Folder only)

Uncatalog File/Folder

Run Folder Analysis (Folder only)

Profile file (File only)

RDBMS

Index Crawling

RDBMS Connectors provide automatic discovery and management of database indexes during metadata crawling. Index attributes are captured and integrated with table and column metadata for improved visibility and governance.

Key Capabilities

  • Automatic Index Discovery: Identifies primary, unique, composite, and full-text indexes.

  • Metadata Enrichment: Adds index type, uniqueness, and usage details to tables and columns.

  • Connector-Level Configuration: Index crawling can be enabled or adjusted per connector.

  • Framework Integration: Operates within the existing connector framework without additional setup.

File Columns

The File Columns tab displays the columns associated with the cataloged files.

Below are additional attributes presented on the File level summary page alongside the fundamental attributes explained earlier.

Attributes
Description

Maximum Value

Displays the highest value among all records in the File Column.

Minimum Value

Displays the lowest value among all records in the File Column.

Data Type

It denotes whether the File Column denotes an integer, varchar, char, date, time, boolean, decimal, float, text, etc.

Zero Count

Indicates that the File Column has no data entries or records.

Empty Count

Displays the number of empty records.

Distinct Count/Percentage

Represents the count of distinct values, excluding duplicates.

Null Value Count/Percentage

Refers to the number of occurrences of null or missing values.

Top Values

The Top Values section displays the file column's top 50 profiling statistics, which are repetitive.

The Top Values only display the top 5 profiling statistics, but clicking “View All Values” displays the remaining ones.

Reports

In the Data Catalog, the Reports tab showcases all the reports crawled from connected source systems.

Here is the list of exclusive sections associated with Reports.

  • Eye Frame: The Eye Frame appears at the bottom of the Reports Summary Page. Clicking on it will redirect to the corresponding report in the Data Source.

Below are additional attributes displayed on the Report-level summary page alongside the fundamental attributes explained earlier.

Attributes
Description

Column Count

Indicates the number of columns present in the report.

Path

It represents the remote folder path where the report is stored.

Type

It displays the report type, such as datasets, workbooks, dashboards, titles, views, Webi, CrystalReports, Page, ColumnChart, map, etc.

9-Dots Action Items specific to Reports

Actions
Meta Read
Meta Write

Add Reports to Dashboard

Remove Reports from Dashboard

Report Columns

The Report Columns tab displays report columns associated with a Report. The Data Source shows the columns used to build the Report after crawling the Connector.

Below are additional attributes displayed on the Report level summary page alongside the fundamental attributes explained earlier.

Attributes
Description

Path

Denotes the report's location, i.e., the folder path where the report is stored in a remote system.

Formula

Displays the mathematical or logical expression used to analyze and present the data in a report.

Codes

Codes display queries crawled from connected data sources, queries executed using the Query Sheet, and queries added through the "Data Catalog > Codes > Add New Code" option for a selected Connector/Schema.

Here is the list of exclusive tabs associated with Codes.

  • Associations: It displays a single, cohesive view of the data objects (Tables, Files, or Reports) on which queries execute within the system.

Below are additional attributes displayed on the Code summary page alongside the fundamental attributes explained earlier.

Attributes
Description

Catalog Status

If it is cataloged in the Data Catalog, it shows as "Yes." If not, it shows as "No."

Last Run Date

Represents the date when the specified codes were last executed or run.

Job Type

Denotes the type of job associated with the code, such as View, Function, Procedure, Trigger, workflow, extraction, transformation, loading, etc.

SQL Type

Denotes whether DDL, DML, DCL, and supported formats.

Lineage Status

Indicates success, failure, or partial building of lineages.

Parent Query

Distinguishes between datasets that are considered parent datasets, especially when working with codes with similar names.

Has Association

Indicates the presence of connections or links a query has with other data objects, enhancing the understanding of relationships.

Last Lineage Build Date

Displays the date when the lineage was built for data objects using this query or code.

9-Dots Action Items specific to Codes

Actions
Meta Read
Meta Write

Add New Code

Recommend Lineage and References

Delete Association

Delete Lineage

Delete Code

APIs

The API Connector allows the crawling of APIs with support for Swagger and OpenAPIv3 types, enabling security measures to limit API access to authorized users.

Below are additional attributes displayed on the API level summary page alongside the fundamental attributes explained earlier.

Attributes
Description

URL

Denotes the web address where the API can be accessed. It defines the location for making requests and receiving responses from the API.

Path

Denotes the NFS or GIT path where APIs are stored.

Method

Defines the actions or operations that can be performed by calling specific functions or endpoints within the API.

Endpoint

Defines the various operations and data manipulations that can be performed using the API.

Attribute Count

Displays the total number of attributes present in the API.

API Attributes

API Attributes are the Request and the Response Parameters inside any API. They can be crawled into the Data Catalog, allowing for the assignment of tags, business glossary terms, classifications, and other metadata-related actions.

Below are additional attributes displayed on the API level summary page alongside the fundamental attributes explained earlier.

Attributes
Description

Type

The Type shows whether the Attribute is a Request or a Response parameter.

Data Type

Specifies the Data Type of an API Attribute and shows if it’s a string, integer, array, or number.

Actions on Data Catalog Objects

The Data Catalog 9-Dots icon provides various options for efficient control and organization of data objects, from raising service requests to adding objects to data quality, impact analysis, watchlist, dashboard, and more. Actions are customized based on access permissions. The 9-Dots option is available in the List View for bulk action and on the Summary Page of that selected data object.

Database (DB), Tables (T), Table Column (TC), Files (F), File Columns (FC), Reports (R), Reports Columns (RC), Codes (C), Application Programming Interface (API) & Application Programming Interface Attributes (APIA).

Action
Objects
Meta Read
Meta Write

Add/ Remove to My Watchlist

DB, T, TC, R, RC, C, API, APIA

Add/Remove Tags

DB, T, TC, F, FC, R, RC, C, API, APIA

Add /Remove Terms

DB, T, TC, F, FC, R, RC, C, API, APIA

Add/Remove to Default Project

DB, T, TC, F, FC, R, RC, C, API, APIA

Service Desk

DB, T, TC, F, FC, R, RC, APIs, APIA

Data Quality

DB, T, TC, F, FC, C, APIs, APIA

Update Governance Roles

T, TC, F, FC, R, RC, C, API, APIA

Change Certification Type

T, TC, F, FC, R, API, APIA

Anomaly Detection Settings

DB, T, TC

Add to Impact Analysis

T, TC, F, FC, R, RC, API, APIA

Process Upstream/Downstream Objects

T, TC, F, FC, R, RC, C, API, APIA

Custom Fields History

DB, T, TC, F, FC, R, RC, C, API, APIA

Configure Search Keyword

DB, T, TC, F, FC, R, RC, C, API, APIA

Download

DB, T, TC, F, FC, R, RC, C, API, APIA

Certification Type can only be changed by the Governance Roles of the object and the Admin. For details of 9 Dots actions, please click here.


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