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- DataHub
A Metadata Platform for the Modern Data Stack
- Ingesting Data Using DataHub UI Guidance - Step-by-Step Instructions
To ingest the provided data using the DataHub UI, you can follow these steps: Navigate to the Ingestion Tab: Ensure you have the necessary privileges (Manage Metadata Ingestion and Manage Secrets) and navigate to the ‘Ingestion’ tab in DataHub
- 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
- 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
- Creating and Managing a dbt Ingestion Source with DataHub Python Client
To create a new dbt ingestion source using the DataHub Python client without using the CLI, you can utilize the DataHub Python SDK Here’s a general approach to achieve this:
- 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
- Updating Descriptions of Ingested Assets Using CSV Enricher in DataHub
Yes, you can use the DataHub UI to ingest CSV files for metadata enrichment According to the < https: datahubproject io docs 0 13 1 ui-ingestion|UI Ingestion Guide>, you can configure and execute metadata ingestion through the DataHub user interface Here’s how you can do it:
- Troubleshooting DataHub Ingestion and Configuration Issues
In summary, the DATAHUB_GMS_TOKEN is specifically for authenticating API requests to the DataHub GMS using a Personal Access Token, whereas other tokens or configurations serve different purposes within the DataHub ecosystem
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