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GitBook: [#109] Profiler Overview

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pmbrull 2022-03-22 14:07:09 +00:00 committed by Sriharsha Chintalapani
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data-quality/data-quality-overview/README.md
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@ -37,17 +37,27 @@ This section will show you how to configure and run Data Profiling and Quality p
## Data Profiling
The Ingestion Framework currently supports two types of pipelines:
### Workflows
* **Ingestion:** Captures metadata from the sources and updates the Entities' instances.
* **Profiling:** Extracts metrics from SQL sources and configures and runs Data Quality tests. It requires previous executions of the Ingestion Pipeline.
The **Ingestion Framework** currently supports two types of workflows:
* **Ingestion:** Captures metadata from the sources and updates the Entities' instances. This is a lightweight process that can be scheduled to have fast feedback on metadata changes in our sources.
* **Profiling:** Extracts metrics from SQL sources and sets up and runs Data Quality tests. It requires previous executions of the Ingestion Pipeline. This is a more time-consuming workflow that will run metrics and compare their result to the configured tests of both Tables and Columns.
> Note that you can configure Ingestion pipelines with `source.config.data_profiler_enabled` as `"true"` or `"false"` to run the profiler as well during the metadata ingestion. This, however, **does not support** Quality Tests.
### Profiling Overview
#### Requirements
The source layer of the Profiling workflow is the OpenMetadata API. Based on the source configuration, this process lists the tables to be executed.
#### Description
The steps of the **Profiling** pipeline are the following:
1. First, use the source configuration to create a connection.
2. Next, iterate over the selected tables and schemas that the Ingestion has previously added.
2. Next, iterate over the selected tables and schemas that the Ingestion has previously recorded to OpenMetadata.
3. Run a default set of metrics to all the table's columns. (We will add more customization in further releases).
4. Finally, compare the metrics' results against the configured Data Quality tests.