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Turium Algoreus
  • Turium Algoreus Documentation
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        • Axons (Pipeline) User Guide
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          • Steps for a simple batch Axon in Algoreus
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          • Deploying an Axon in Algoreus
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          • Viewing and downloading logs in the Genesis in Algoreus
          • Scheduling an Axon in Algoreus
          • Reusable Axons in Algoreus
          • Using Triggers in Algoreus
          • Working with multiple versions of the same node in Algoreus
          • Modifying a draft Axon in Algoreus
          • Editing a deployed Axon in Algoreus
          • Duplicating An Axon in Algoreus
          • Deleting an Axon in Algoreus
          • Deploying nodes from the Algoreus Hub
          • Using node templates in Algoreus
          • Exporting and importing Axons in Algoreus
          • Dynamic resource configuration in Algoreus
          • Working with namespaces in Algoreus
        • Soma (Transformation) User Guide
          • Algoreus Soma Overview
          • Algoreus Soma Concepts
          • Algoreus Soma UI components
          • Working with multiple datasets
          • Navigating between Soma and Algoreus Genesis
          • Editing a transformation created in the Soma
          • Soma data types
          • Working with connections in Soma
          • Parsing a CSV file
          • Strings Formatting
          • Sending records to error
          • Working with numbers in Soma
          • Working with Decimal types in Soma
          • Performing date transformations in Soma
          • Filtering records
          • Finding and replacing values in a column
          • Filling null or empty cells
          • Copying, deleting, and keeping columns
          • Renaming a column
          • Joining two columns
          • Swapping two column names
          • Extracting fields to retrieve values
          • Exploding fields
          • Masking data
          • Encoding records to store or transfer data
          • Decoding records to store or transfer data
          • Applying a Hashing algorithm to a column
          • Upgrading the Soma transformation node version
          • Viewing and downloading a schema in Soma
          • Viewing Soma Service logs
        • Cerebellum (Operations and Monitoring) User Guide
          • Logging and Monitoring
          • Metrics
          • Dashboard and Reports
          • Preferences and Runtime Arguments
          • Transaction Service Maintenance
        • Engram (Metadata) User Guide
          • System Metadata
          • Discovery and Lineage
          • Audit Logging
          • Metadata Management
          • Accessing Metadata Programmatically
          • Metadata Field-Level Lineage
        • Clone (Replication) User Guide
          • Cloning overview
          • Clone Concepts
          • Adding Transformations to a Cloning Job
          • Deleting a Cloning Job
          • Tutorial: Cloning data from Oracle Database to BigQuery
        • Algology (Visualisation) User Guide
          • Dashboards
            • Using Dashboards
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            • Share dashboards and panels
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            • Search Dashboards
          • Panel Editor
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            • Configure standard options
          • Visualisations
            • Alert List
            • Bar Chart
            • Bar Gauge
            • Candlestick Panel
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            • Node Graph
            • Traces Panel
            • Pie Chart
            • State Timeline
            • Stat Panel
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            • Trend Panel
            • Text Panel
            • Table
            • GeoMap
            • Datagrid Panel
            • Status history
            • Annotations
          • Explore
            • Logs in Explore
            • Queries in Explore
            • Tracing in Explore
            • Inspector in Explore
    • Turium Algoreus Connectors
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  1. Turium Algoreus Documentation
  2. Turium Algoreus Overview
  3. How to Guides
  4. Engram (Metadata) User Guide

Discovery and Lineage

PreviousSystem MetadataNextAudit Logging

Last updated 1 year ago

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Discovery

Metadata can be applied to various Algoreus components to enhance their discoverability and management efficiency. This facilitates the process of locating specific components within Engram.

For instance, a dataset might be marked as experimental, or an application might be designated as a production unit. These tagged entities can be easily found by implementing search queries with the associated metadata.

With the search feature, it's possible to locate entities:

  • possessing a certain value for any key within their properties;

  • having a specific key paired with a particular value in their properties; or

  • containing a unique tag.

You could, for instance, locate a dataset that contains a "field with a certain name" or a "field with a designated name and a specific type".

To facilitate metadata searches, the Algoreus Engram can be utilized.


Lineage

Lineage can be extracted for dataset entities. A lineage illustrates all data interactions related to the entity within a specified timeframe and provides information about the origin of these interactions.

In the case of datasets, lineage can denote whether a dataset access was for read, write, or both actions, provided the methods within the dataset carry the right annotations. If such annotations are lacking, the lineage merely indicates that a dataset access occurred without specifying if it was for reading or writing.


Discovery
Lineage