ADF integration in data-observability docs - #38642
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Add a setup page for Data Observability: Jobs Monitoring with Azure Data Factory, covering the Azure role assignment the integration needs, the in-app configuration steps, what Datadog collects, and dataset lineage. Also add the page to the Jobs Monitoring nav and card grid, and list Azure Data Factory among the integrations that feed Lineage. Signed-off-by: Maciej Obuchowski <maciej.obuchowski@datadoghq.com>
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| Without them, Datadog can list your factories and pipelines but collects no runs. | ||
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| ### Option 1: Create a custom role (recommended) |
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UX: Can we use the Datadog tabs to toggle "Create a custom role (recommended)" and "Use a built-in role" instead of listing all options vertically?
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| ## What Datadog collects | ||
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| After setup, Datadog refreshes your data factory inventory once a day: factories, pipelines, datasets, linked services, data flows, and triggers. New pipeline and activity runs are collected every few minutes. |
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Q: Does this mean if you spin up a new pipeline, you have to wait a day to see the runs? That feels odd. Anyway we can see new pipeline faster?
| - The pipeline run and each of its activity runs, with start time, end time, and duration. | ||
| - The run status, and the error message for failed runs. | ||
| - The trigger that started the run. | ||
| - An `env` tag set to the name of the data factory. |
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| For activities that move data, such as a copy, Datadog reports the source and sink datasets. For activities that run SQL, Datadog reports the tables the statement read and wrote. | ||
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| Datadog resolves datasets across the major warehouse, database, and object storage connectors, including Snowflake, Google BigQuery, Amazon Redshift, SQL Server and Azure SQL, Azure Databricks Delta Lake, Amazon S3, Azure Blob Storage, and Azure Data Lake Storage. Assets resolve to the same entities that Datadog's other Data Observability integrations report, so lineage connects across your data platforms. |
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format technologies this as bulleted list
brett0000FF
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brett0000FF
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What does this PR do? What is the motivation?
Adds the Azure Data Factory setup documentation for the Data Observability product.
Merge readiness
AI assistance
Used Claude Code for initial draft, iterated on it manually.