From 13e4e098aef285b05f1dfaeee2fd6db001ca1260 Mon Sep 17 00:00:00 2001 From: Rounak Dhillon <162090200+RounakDhillon@users.noreply.github.com> Date: Mon, 30 Jun 2025 20:27:57 +0530 Subject: [PATCH] Doc: Auto Classification Images Fix (#22036) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-authored-by: “Rounak <“rounakpreet.d@deuexsolutions.com”> --- .../classification/Auto Classification/index.md | 6 +++--- .../classification/Auto Classification/index.md | 6 +++--- .../classification/Auto Classification/index.md | 6 +++--- 3 files changed, 9 insertions(+), 9 deletions(-) diff --git a/openmetadata-docs/content/v1.7.x/how-to-guides/data-governance/classification/Auto Classification/index.md b/openmetadata-docs/content/v1.7.x/how-to-guides/data-governance/classification/Auto Classification/index.md index 16632c839b3..620c4306dd0 100644 --- a/openmetadata-docs/content/v1.7.x/how-to-guides/data-governance/classification/Auto Classification/index.md +++ b/openmetadata-docs/content/v1.7.x/how-to-guides/data-governance/classification/Auto Classification/index.md @@ -10,7 +10,7 @@ OpenMetadata identifies PII data and auto tags or suggests the tags. It automati In the example below, the columns ‘last_name’ and ‘social security number’ are auto-tagged as PII-sensitive. This works using NLP as part of the profiler during ingestion. {% image -src="/images/v1.6/how-to-guides/governance/auto1.png" +src="/images/v1.7/how-to-guides/governance/auto1.png" alt="User_name and Social Security Number are Auto-Classified as PII Sensitive" caption="User_name and Social Security Number are Auto-Classified as PII Sensitive" /%} @@ -18,7 +18,7 @@ caption="User_name and Social Security Number are Auto-Classified as PII Sensiti In the below example, the column ‘number_of_orders’ is also auto-tagged as Sensitive, even though the column name does not provide much information. {% image -src="/images/v1.6/how-to-guides/governance/auto2.png" +src="/images/v1.7/how-to-guides/governance/auto2.png" alt="Column Name does not provide much information" caption="Column Name does not provide much information" /%} @@ -26,7 +26,7 @@ caption="Column Name does not provide much information" When we look at the content of the column ‘number_of_orders’ in the Sample Data tab, it becomes clear that the auto-classification is based on the data in the column. {% image -src="/images/v1.6/how-to-guides/governance/auto3.png" +src="/images/v1.7/how-to-guides/governance/auto3.png" alt="Column Data provides information" caption="Column Data provides information" /%} diff --git a/openmetadata-docs/content/v1.8.x/how-to-guides/data-governance/classification/Auto Classification/index.md b/openmetadata-docs/content/v1.8.x/how-to-guides/data-governance/classification/Auto Classification/index.md index 16632c839b3..a1b9013eafe 100644 --- a/openmetadata-docs/content/v1.8.x/how-to-guides/data-governance/classification/Auto Classification/index.md +++ b/openmetadata-docs/content/v1.8.x/how-to-guides/data-governance/classification/Auto Classification/index.md @@ -10,7 +10,7 @@ OpenMetadata identifies PII data and auto tags or suggests the tags. It automati In the example below, the columns ‘last_name’ and ‘social security number’ are auto-tagged as PII-sensitive. This works using NLP as part of the profiler during ingestion. {% image -src="/images/v1.6/how-to-guides/governance/auto1.png" +src="/images/v1.8/how-to-guides/governance/auto1.png" alt="User_name and Social Security Number are Auto-Classified as PII Sensitive" caption="User_name and Social Security Number are Auto-Classified as PII Sensitive" /%} @@ -18,7 +18,7 @@ caption="User_name and Social Security Number are Auto-Classified as PII Sensiti In the below example, the column ‘number_of_orders’ is also auto-tagged as Sensitive, even though the column name does not provide much information. {% image -src="/images/v1.6/how-to-guides/governance/auto2.png" +src="/images/v1.8/how-to-guides/governance/auto2.png" alt="Column Name does not provide much information" caption="Column Name does not provide much information" /%} @@ -26,7 +26,7 @@ caption="Column Name does not provide much information" When we look at the content of the column ‘number_of_orders’ in the Sample Data tab, it becomes clear that the auto-classification is based on the data in the column. {% image -src="/images/v1.6/how-to-guides/governance/auto3.png" +src="/images/v1.8/how-to-guides/governance/auto3.png" alt="Column Data provides information" caption="Column Data provides information" /%} diff --git a/openmetadata-docs/content/v1.9.x-SNAPSHOT/how-to-guides/data-governance/classification/Auto Classification/index.md b/openmetadata-docs/content/v1.9.x-SNAPSHOT/how-to-guides/data-governance/classification/Auto Classification/index.md index 16632c839b3..ef1f04fde85 100644 --- a/openmetadata-docs/content/v1.9.x-SNAPSHOT/how-to-guides/data-governance/classification/Auto Classification/index.md +++ b/openmetadata-docs/content/v1.9.x-SNAPSHOT/how-to-guides/data-governance/classification/Auto Classification/index.md @@ -10,7 +10,7 @@ OpenMetadata identifies PII data and auto tags or suggests the tags. It automati In the example below, the columns ‘last_name’ and ‘social security number’ are auto-tagged as PII-sensitive. This works using NLP as part of the profiler during ingestion. {% image -src="/images/v1.6/how-to-guides/governance/auto1.png" +src="/images/v1.9/how-to-guides/governance/auto1.png" alt="User_name and Social Security Number are Auto-Classified as PII Sensitive" caption="User_name and Social Security Number are Auto-Classified as PII Sensitive" /%} @@ -18,7 +18,7 @@ caption="User_name and Social Security Number are Auto-Classified as PII Sensiti In the below example, the column ‘number_of_orders’ is also auto-tagged as Sensitive, even though the column name does not provide much information. {% image -src="/images/v1.6/how-to-guides/governance/auto2.png" +src="/images/v1.9/how-to-guides/governance/auto2.png" alt="Column Name does not provide much information" caption="Column Name does not provide much information" /%} @@ -26,7 +26,7 @@ caption="Column Name does not provide much information" When we look at the content of the column ‘number_of_orders’ in the Sample Data tab, it becomes clear that the auto-classification is based on the data in the column. {% image -src="/images/v1.6/how-to-guides/governance/auto3.png" +src="/images/v1.9/how-to-guides/governance/auto3.png" alt="Column Data provides information" caption="Column Data provides information" /%}