Assets Catalogued in K

K catalogues assets from across your data ecosystem, classifying them into two primary types: Data and Content.

  • Data assets represent structured data stored in databases and schemas (e.g. tables, columns).

  • Content assets represent analytical and reporting artefacts built on top of data (e.g. reports, dashboards, pipelines, ML models).

Various objects within each integrated source are automatically allocated to an object type. For example:

  • A Power BI workspace is catalogued as a Workspace

  • A Power BI app is catalogued as a Content App

  • A Power BI data flow is catalogued as a Pipeline

  • A Redshift External table is catalogued as a Table (Table type: External)

  • A Snowflake View is catalogued as a Table (Table type: View)


Data Assets

Object Type

Description

Database

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The database used to store and manage structured data assets

Schema

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A logical grouping within a database that organizes related tables, views, and procedures.

Table

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A data object within a schema that stores records in rows and columns.

Column

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A single field or attribute within a table that defines a specific data element.

Code

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A script or program that performs data processing, transformation, or analysis.

Procedure

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Stored routine that encapsulates a series of SQL statements or operations.

Macro

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Parameterized or reusable block of logic that simplifies repetitive operations.


Analytical & Reporting Content Assets

Object Type

Description

Tool

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The application or platform used to create, process, or manage analytical & reporting content assets within the data ecosystem

Workspace

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A logical container that groups related assets such as datasets, reports, and pipelines.

Report

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A dashboard, report or document that presents data, charts or insights. Typically connected to one or more datasets.

Sheet

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A page within a report

Content App

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A logical container that groups assets used for data consumption (e.g. Reports).

Pipeline

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A data processing flow that moves, transforms, or integrates data between datasets.

ML Model

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A machine learning artifact that uses input data to make predictions or classifications based on historical patterns.

Dataset

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A structured collection of data used for reporting, analysis, or modeling. It typically serves as the foundation for reports or ML models.

Dataset Table

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A table within a dataset that organizes data into rows and columns, often representing a specific entity or subject area.

Dataset Field

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An individual column or attribute within a dataset table that stores a specific data element (e.g., Customer Name, Order Date).

File

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An asset stored in a filesystem or object store, often in formats such as CSV, JSON, or Parquet, used as input or output for analysis and processing


Asset and Object Type Hierarchy

Asset Type

Dataset / Pipeline

Object Type

Object Children

Data assets

Schema

Table

Column

Data assets

Schema

Macro

Data assets

Schema

Procedure

Content assets

Content

Content Child

Content assets

Dataset

Dataset Table

Dataset Field

Content assets

Dataset Pipeline

Content assets

Content App

Content

Content Child

Content assets

ML Model

Content assets

Workspace

Content

Content Child

Content assets

Workspace

Dataset

Dataset Table / Field

Content assets

DQ Test