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- DataHub
A Metadata Platform for the Modern Data Stack
- Ensuring Proper Configuration for Column-Level Lineage in DataHub
To include column-level lineage in DataHub, you need to ensure that your ingestion source supports this feature and that the necessary configurations are enabled Based on the <https: datahubproject io docs 0 13 1 generated ingestion sources dbt|DataHub documentation for dbt>, here are the steps you can follow:
- Ingesting Data Using DataHub UI Guidance - Step-by-Step Instructions
To ingest the provided data using the DataHub UI, you can follow these steps: Ensure Prerequisites : Make sure you have the Manage Metadata Ingestion and Manage Secrets privileges assigned to your account
- Generating a Python script to ingest a dataset using the DataHub SDK
This example demonstrates how to create a dataset schema and emit it to DataHub using the REST emitter Step-by-Step Python Script Install the DataHub Python SDK: Ensure you have the acryl-datahub package installed Initialize the REST Emitter: Set up the REST emitter to communicate with your DataHub instance
- Understanding DataHubs Architecture and Key Components
DataHub’s architecture is designed to support data discovery, collaboration, governance, and observability within the modern data stack Here are the key components and highlights of its architecture: Schema-first Metadata Modeling: DataHub employs a model-first approach using a serialization-agnostic language It supports both REST and
- Enabling Stats Tab and Usage Statistics in DataHub GUI
To get table usage statistics in DataHub, you need to ensure that your ingestion process is configured to capture and ingest usage statistics Here are the steps to achieve this: Enable Usage Statistics in Ingestion: Ensure that your ingestion recipe is configured to include usage statistics
- Creating and Linking Assets in DataHub Manually
To manually create assets in DataHub, such as a dashboard and link it to a dataset, you can use the DataHub API or the Python SDK Here’s a general approach: Using the DataHub API
- Configuring PostgreSQL Ingestion With Table Relationships in DataHub
To ingest table relationships in a PostgreSQL database using DataHub, you need to ensure that your ingestion configuration is set up to capture lineage, which includes relationships such as foreign key constraints
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