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46 lines
1.9 KiB
Markdown
46 lines
1.9 KiB
Markdown
---
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title: Data Profiler
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slug: /how-to-guides/data-quality-observability/profiler
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---
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# Overview of Data Profiler
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The profiler in OpenMetadata helps to understand the shape of your data and to quickly validate assumptions. The data profiler helps to capture table usage statistics over a period of time. This happens as part of profiler ingestion. Data profiles enable you to check for null values in non-null columns, for duplicates in a unique column, etc. You can gain a better understanding of column data distributions through the descriptive statistics provided.
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Watch the video to understand OpenMetadata’s native Data Profiler and Data Quality tests.
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{% youtube videoId="gLdTOF81YpI" start="0:00" end="1:08:10" width="800px" height="450px" /%}
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{%inlineCalloutContainer%}
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{%inlineCallout
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color="violet-70"
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bold="Profiler Tab"
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icon="MdSecurity"
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href="/how-to-guides/data-quality-observability/profiler/tab"%}
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Get a complete picture of the Table Profile and Column Profile details.
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{%/inlineCallout%}
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{%inlineCallout
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icon="MdVisibility"
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bold="Profiler Workflow"
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href="/how-to-guides/data-quality-observability/profiler/workflow"%}
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Configure and run the Profiler Workflow to extract Profiler data.
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{%/inlineCallout%}
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{%inlineCallout
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icon="MdAnalytics"
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bold="Metrics"
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href="/how-to-guides/data-quality-observability/profiler/metrics"%}
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Learn about the supported profiler metrics.
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{%/inlineCallout%}
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{%inlineCallout
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icon="MdViewCompact"
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bold="Sample Data"
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href="/how-to-guides/data-quality-observability/profiler/external-sample-data"%}
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Learn about the external storage for sample data.
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{%/inlineCallout%}
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{%inlineCallout
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icon="MdOutlineSchema"
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bold="External Workflow"
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href="/how-to-guides/data-quality-observability/profiler/external-workflow"%}
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Run a single workflow profiler for the entire source externally.
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{%/inlineCallout%}
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{%/inlineCalloutContainer%} |