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Doc: Correcting videos (#21240)

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Co-authored-by: Rounak Dhillon <rounakdhillon@Rounaks-MacBook-Air.local>
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6
openmetadata-docs/content/partials/v1.6/releases/1.5.1.md
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@ -98,19 +98,19 @@ OpenMetadata has been driving innovation in Data Quality in Open Source. Many or
In 1.5.1, we are bringing in **Anomaly Detection** based on AI to predict when an anomaly happens based on our learning historical data and automatically sending notifications to the owners of the table to warn them of the impending incidents
{% youtube videoId="BPuNC8vPcsw" start="0:00" end="1:01" width="800px" height="450px" /%}
{% youtube videoId="GDaVX64AumI" start="0:00" end="1:01" width="800px" height="450px" /%}
## Enhanced Data Quality Dashboard (Collate)
We also have improved the Table Data quality dashboard to showcase the tests categorized and make it easy for everyone to consume. When there are issues, the new dashboard makes it easier to understand the Data Quality coverage of your tables and the possible impact each test failure has by organizing tests into different groups.
{% youtube videoId="bXcQBtZuyoU" start="0:00" end="2:10" width="800px" height="450px" /%}
{% youtube videoId="eWaVVtwaAws" start="0:00" end="2:10" width="800px" height="450px" /%}
## Freshness Data Quality Tests (Collate)
Working with old data can lead to making wrong decisions. With the new Freshness test, you can validate that your data arrives at the right time. Freshness tests are a critical part of any data team's toolset. Bringing these tests together with lineage information and the Incident Manager, your team will be able to quickly detect issues related to missing data or stuck pipelines.
{% youtube videoId="QRcR3m9cCGo" start="0:00" end="1:09" width="800px" height="450px" /%}
{% youtube videoId="v=sdERMiI16-4" start="0:00" end="1:09" width="800px" height="450px" /%}
## Data Diff Data Quality Tests

6
openmetadata-docs/content/partials/v1.7/releases/1.5.1.md
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@ -98,19 +98,19 @@ OpenMetadata has been driving innovation in Data Quality in Open Source. Many or
In 1.5.1, we are bringing in **Anomaly Detection** based on AI to predict when an anomaly happens based on our learning historical data and automatically sending notifications to the owners of the table to warn them of the impending incidents
{% youtube videoId="BPuNC8vPcsw" start="0:00" end="1:01" width="800px" height="450px" /%}
{% youtube videoId="GDaVX64AumI" start="0:00" end="1:01" width="800px" height="450px" /%}
## Enhanced Data Quality Dashboard (Collate)
We also have improved the Table Data quality dashboard to showcase the tests categorized and make it easy for everyone to consume. When there are issues, the new dashboard makes it easier to understand the Data Quality coverage of your tables and the possible impact each test failure has by organizing tests into different groups.
{% youtube videoId="bXcQBtZuyoU" start="0:00" end="2:10" width="800px" height="450px" /%}
{% youtube videoId="eWaVVtwaAws" start="0:00" end="2:10" width="800px" height="450px" /%}
## Freshness Data Quality Tests (Collate)
Working with old data can lead to making wrong decisions. With the new Freshness test, you can validate that your data arrives at the right time. Freshness tests are a critical part of any data team's toolset. Bringing these tests together with lineage information and the Incident Manager, your team will be able to quickly detect issues related to missing data or stuck pipelines.
{% youtube videoId="QRcR3m9cCGo" start="0:00" end="1:09" width="800px" height="450px" /%}
{% youtube videoId="v=sdERMiI16-4" start="0:00" end="1:09" width="800px" height="450px" /%}
## Data Diff Data Quality Tests

6
openmetadata-docs/content/partials/v1.8/releases/1.5.1.md
View File

@ -98,19 +98,19 @@ OpenMetadata has been driving innovation in Data Quality in Open Source. Many or
In 1.5.1, we are bringing in **Anomaly Detection** based on AI to predict when an anomaly happens based on our learning historical data and automatically sending notifications to the owners of the table to warn them of the impending incidents
{% youtube videoId="BPuNC8vPcsw" start="0:00" end="1:01" width="800px" height="450px" /%}
{% youtube videoId="GDaVX64AumI" start="0:00" end="1:01" width="800px" height="450px" /%}
## Enhanced Data Quality Dashboard (Collate)
We also have improved the Table Data quality dashboard to showcase the tests categorized and make it easy for everyone to consume. When there are issues, the new dashboard makes it easier to understand the Data Quality coverage of your tables and the possible impact each test failure has by organizing tests into different groups.
{% youtube videoId="bXcQBtZuyoU" start="0:00" end="2:10" width="800px" height="450px" /%}
{% youtube videoId="eWaVVtwaAws" start="0:00" end="2:10" width="800px" height="450px" /%}
## Freshness Data Quality Tests (Collate)
Working with old data can lead to making wrong decisions. With the new Freshness test, you can validate that your data arrives at the right time. Freshness tests are a critical part of any data team's toolset. Bringing these tests together with lineage information and the Incident Manager, your team will be able to quickly detect issues related to missing data or stuck pipelines.
{% youtube videoId="QRcR3m9cCGo" start="0:00" end="1:09" width="800px" height="450px" /%}
{% youtube videoId="v=sdERMiI16-4" start="0:00" end="1:09" width="800px" height="450px" /%}
## Data Diff Data Quality Tests

2
openmetadata-docs/content/v1.6.x/how-to-guides/data-discovery/er-diagrams.md
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@ -10,7 +10,7 @@ collate: true
Entity Relationship (ER) Diagrams in Collate provide a visual representation of how tables are connected within a database. These diagrams offer a complete picture of your data structure by automatically detecting relationships based on constraints such as **primary keys** and **foreign keys** during metadata ingestion.
{% youtube videoId="3m2xHpIsYuM" start="0:00" end="1:30" width="800px" height="450px" /%}
{% youtube videoId="thC9fRDmR_U" start="0:00" end="1:30" width="800px" height="450px" /%}
## Automatic Detection of Relationships

2
openmetadata-docs/content/v1.7.x/how-to-guides/data-discovery/er-diagrams.md
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@ -10,7 +10,7 @@ collate: true
Entity Relationship (ER) Diagrams in Collate provide a visual representation of how tables are connected within a database. These diagrams offer a complete picture of your data structure by automatically detecting relationships based on constraints such as **primary keys** and **foreign keys** during metadata ingestion.
{% youtube videoId="3m2xHpIsYuM" start="0:00" end="1:30" width="800px" height="450px" /%}
{% youtube videoId="thC9fRDmR_U" start="0:00" end="1:30" width="800px" height="450px" /%}
## Automatic Detection of Relationships

2
openmetadata-docs/content/v1.8.x-SNAPSHOT/how-to-guides/data-discovery/er-diagrams.md
View File

@ -10,7 +10,7 @@ collate: true
Entity Relationship (ER) Diagrams in Collate provide a visual representation of how tables are connected within a database. These diagrams offer a complete picture of your data structure by automatically detecting relationships based on constraints such as **primary keys** and **foreign keys** during metadata ingestion.
{% youtube videoId="3m2xHpIsYuM" start="0:00" end="1:30" width="800px" height="450px" /%}
{% youtube videoId="thC9fRDmR_U" start="0:00" end="1:30" width="800px" height="450px" /%}
## Automatic Detection of Relationships