GitBook: [#93] New Changes

docs/README.md

@@ -11,15 +11,15 @@ OpenMetadata enables metadata management end-to-end, giving you the ability to u
 OpenMetadata provides connectors that enable you to perform metadata ingestion from a number of common database, dashboard, messaging, and pipeline services. With each release, we add additional connectors and the ingestion framework provides a structured and straightforward method for creating your own connectors. See the table below for a list of supported connectors.
 
 | A-H                                                                                            | I-M                                             | N-R                                                                  | S-Z                                                                     |
-| ---------------------------------------------------------------------------------------------- | ----------------------------------------------- | ----------------------------------------------------------- | ------------------------------------------------------------- |
+| ---------------------------------------------------------------------------------------------- | ----------------------------------------------- | -------------------------------------------------------------------- | ----------------------------------------------------------------------- |
 | [Airflow](integrations/connectors/airflow/airflow.md)                                          | [IBM Db2](integrations/connectors/ibm-db2.md)   | [Oracle](integrations/connectors/oracle.md)                          | [Salesforce](integrations/connectors/salesforce.md)                     |
 | Amundsen                                                                                       | [Kafka](integrations/connectors/kafka.md)       | [Postgres](integrations/connectors/postgres/)                        | [SingleStore](integrations/connectors/singlestore.md)                   |
 | Apache Atlas                                                                                   | LDAP                                            | Power BI                                                             | [Snowflake](integrations/connectors/snowflake/)                         |
-| Apache Druid                                                                                   | [Looker](integrations/connectors/looker.md)     | Prefect                                                     | [Snowflake Usage](integrations/connectors/snowflake-usage.md) |
+| Apache Druid                                                                                   | [Looker](integrations/connectors/looker.md)     | Prefect                                                              | [Snowflake Usage](integrations/connectors/snowflake/snowflake-usage.md) |
 | [Athena](integrations/connectors/athena.md)                                                    | [MariaDB](integrations/connectors/mariadb.md)   | [Presto](integrations/connectors/presto.md)                          | [Superset](integrations/connectors/superset.md)                         |
 | [Azure SQL](integrations/connectors/azure-sql.md)                                              | [Metabase](integrations/connectors/metabase.md) | [Redash](integrations/connectors/redash.md)                          | [Tableau](integrations/connectors/tableau.md)                           |
 | [BigQuery](integrations/connectors/bigquery/)                                                  | [MLflow](integrations/connectors/mlflow/)       | [Redshift](integrations/connectors/redshift/)                        | [Trino](integrations/connectors/trino.md)                               |
-| [BigQuery Usage](integrations/connectors/bigquery-usage.md)                                    | [MSSQL](integrations/connectors/mssql/)         | [Redshift Usage](integrations/connectors/redshift-usage.md) | [Vertica](integrations/connectors/vertica.md)                 |
+| [BigQuery Usage](integrations/connectors/bigquery/bigquery-usage.md)                           | [MSSQL](integrations/connectors/mssql/)         | [Redshift Usage](integrations/connectors/redshift/redshift-usage.md) | [Vertica](integrations/connectors/vertica.md)                           |
 | ClickHouse                                                                                     | MSSQL Usage                                     |                                                                      |                                                                         |
 | ClickHouse Usage                                                                               | [MySQL](integrations/connectors/mysql/mysql.md) |                                                                      |                                                                         |
 | [Databricks](integrations/connectors/databricks.md)                                            |                                                 |                                                                      |                                                                         |

docs/SUMMARY.md

@@ -20,7 +20,7 @@
   * [Azure SQL](integrations/connectors/azure-sql.md)
   * [BigQuery](integrations/connectors/bigquery/README.md)
     * [BigQuery Metadata Extraction](integrations/connectors/bigquery/bigquery-metadata-extraction.md)
-  * [BigQuery Usage](integrations/connectors/bigquery-usage.md)
+    * [BigQuery Usage](integrations/connectors/bigquery/bigquery-usage.md)
   * [Databricks](integrations/connectors/databricks.md)
   * [Delta Lake](integrations/connectors/delta-lake.md)
   * [DynamoDB](integrations/connectors/dynamodb.md)
@@ -46,12 +46,12 @@
   * [Redash](integrations/connectors/redash.md)
   * [Redshift](integrations/connectors/redshift/README.md)
     * [Redshift Metadata Extraction](integrations/connectors/redshift/redshift-metadata-extraction.md)
-  * [Redshift Usage](integrations/connectors/redshift-usage.md)
+    * [Redshift Usage](integrations/connectors/redshift/redshift-usage.md)
   * [Salesforce](integrations/connectors/salesforce.md)
   * [SingleStore](integrations/connectors/singlestore.md)
   * [Snowflake](integrations/connectors/snowflake/README.md)
     * [Snowflake Metadata Extraction](integrations/connectors/snowflake/snowflake-metadata-extraction.md)
-  * [Snowflake Usage](integrations/connectors/snowflake-usage.md)
+    * [Snowflake Usage](integrations/connectors/snowflake/snowflake-usage.md)
   * [Superset](integrations/connectors/superset.md)
   * [Tableau](integrations/connectors/tableau.md)
   * [Trino](integrations/connectors/trino.md)

docs/integrations/connectors/README.md

@@ -4,10 +4,13 @@ OpenMetadata supports connectors to some popular services. We will continue as a
 
 #### Database Services
 
+* Apache Druid
 * [Athena](athena.md)
 * [Azure SQL](azure-sql.md)
 * [BigQuery](bigquery/)
-* [BigQuery Usage](bigquery-usage.md)
+* [BigQuery Usage](bigquery/bigquery-usage.md)
+* ClickHouse
+* ClickHouse Usage
 * [Databricks](databricks.md)
 * [Delta Lake](delta-lake.md)
 * [DynamoDB](dynamodb.md)
@@ -22,11 +25,11 @@ OpenMetadata supports connectors to some popular services. We will continue as a
 * [Postgres](postgres/)
 * [Presto](presto.md)
 * [Redshift](redshift/)
-* [Redshift Usage](redshift-usage.md)
+* [Redshift Usage](redshift/redshift-usage.md)
 * [Salesforce](salesforce.md)
 * [SingleStore](singlestore.md)
 * [Snowflake](snowflake/)
-* [Snowflake Usage](snowflake-usage.md)
+* [Snowflake Usage](snowflake/snowflake-usage.md)
 * [Trino](trino.md)
 * [Vertica](vertica.md)
 
@@ -34,6 +37,7 @@ OpenMetadata supports connectors to some popular services. We will continue as a
 
 * [Looker](looker.md)
 * [Metabase](metabase.md)
+* Power BI
 * [Redash](redash.md)
 * [Superset](superset.md)
 * [Tableau](tableau.md)

docs/integrations/connectors/bigquery/bigquery-usage.md

@@ -356,7 +356,7 @@ The syntax and semantics for `schema_filter_pattern` are the same as for [`table
 
 Use the `source.config.generate_sample_data` field to control whether or not to generate sample data to include in table views in the OpenMetadata user interface. The image below provides an example.
 
-![](../../.gitbook/assets/generate\_sample\_data.png)
+![](../../../.gitbook/assets/generate\_sample\_data.png)
 
 Explicitly include sample data by adding the following key-value pair in the `source.config` field of your configuration file.
 
@@ -380,7 +380,7 @@ You can exclude the collection of sample data by adding the following key-value
 
 DBT provides transformation logic that creates tables and views from raw data. OpenMetadata’s integration for DBT enables you to view the models used to generate a table from that table's details page in the OpenMetadata UI. The image below provides an example.
 
-![](../../.gitbook/assets/configure\_dbt.png)
+![](../../../.gitbook/assets/configure\_dbt.png)
 
 To include DBT models and metadata in your ingestion workflows, specify the location of the DBT manifest and catalog files as fields in your configuration file.
 
@@ -441,7 +441,7 @@ metadata ingest -c ./bigquery_usage.json
 
 As the ingestion workflow runs, you may observe progress both from the command line and from the OpenMetadata user interface. To view the metadata ingested from BigQuery Usage, visit [http://localhost:8585/explore/tables](http://localhost:8585/explore/tables). Select the BigQuery Usage service to filter for the data you’ve ingested using the workflow you configured and ran following this guide. The image below provides an example.
 
-![](<../../.gitbook/assets/next\_steps (1).png>)
+![](<../../../.gitbook/assets/next\_steps (1).png>)
 
 ## **Troubleshooting**
 

docs/integrations/connectors/redshift/redshift-usage.md

@@ -324,7 +324,7 @@ The syntax and semantics for `schema_filter_pattern` are the same as for [`table
 
 Use the `source.config.generate_sample_data` field to control whether or not to generate sample data to include in table views in the OpenMetadata user interface. The image below provides an example.
 
-![](../../.gitbook/assets/generate\_sample\_data.png)
+![](../../../.gitbook/assets/generate\_sample\_data.png)
 
 Explicitly include sample data by adding the following key-value pair in the `source.config` field of your configuration file.
 
@@ -348,7 +348,7 @@ You can exclude the collection of sample data by adding the following key-value
 
 DBT provides transformation logic that creates tables and views from raw data. OpenMetadata’s integration for DBT enables you to view the models used to generate a table from that table's details page in the OpenMetadata UI. The image below provides an example.
 
-![](../../.gitbook/assets/configure\_dbt.png)
+![](../../../.gitbook/assets/configure\_dbt.png)
 
 To include DBT models and metadata in your ingestion workflows, specify the location of the DBT manifest and catalog files as fields in your configuration file.
 
@@ -409,7 +409,7 @@ metadata ingest -c ./redshift_usage.json
 
 As the ingestion workflow runs, you may observe progress both from the command line and from the OpenMetadata user interface. To view the metadata ingested from Redshift Usage, visit [http://localhost:8585/explore/tables](http://localhost:8585/explore/tables). Select the Redshift Usage service to filter for the data you’ve ingested using the workflow you configured and ran following this guide. The image below provides an example.
 
-![](<../../.gitbook/assets/next\_steps (1).png>)
+![](<../../../.gitbook/assets/next\_steps (1).png>)
 
 ## **Troubleshooting**
 

docs/integrations/connectors/snowflake/snowflake-usage.md

@@ -324,7 +324,7 @@ The syntax and semantics for `schema_filter_pattern` are the same as for [`table
 
 Use the `source.config.generate_sample_data` field to control whether or not to generate sample data to include in table views in the OpenMetadata user interface. The image below provides an example.
 
-![](../../.gitbook/assets/generate\_sample\_data.png)
+![](../../../.gitbook/assets/generate\_sample\_data.png)
 
 Explicitly include sample data by adding the following key-value pair in the `source.config` field of your configuration file.
 
@@ -348,7 +348,7 @@ You can exclude the collection of sample data by adding the following key-value
 
 DBT provides transformation logic that creates tables and views from raw data. OpenMetadata’s integration for DBT enables you to view the models used to generate a table from that table's details page in the OpenMetadata UI. The image below provides an example.
 
-![](../../.gitbook/assets/configure\_dbt.png)
+![](../../../.gitbook/assets/configure\_dbt.png)
 
 To include DBT models and metadata in your ingestion workflows, specify the location of the DBT manifest and catalog files as fields in your configuration file.
 
@@ -409,7 +409,7 @@ metadata ingest -c ./snowflake_usage.json
 
 As the ingestion workflow runs, you may observe progress both from the command line and from the OpenMetadata user interface. To view the metadata ingested from Snowflake Usage, visit [http://localhost:8585/explore/tables](http://localhost:8585/explore/tables). Select the Snowflake Usage service to filter for the data you’ve ingested using the workflow you configured and ran following this guide. The image below provides an example.
 
-![](<../../.gitbook/assets/next\_steps (1).png>)
+![](<../../../.gitbook/assets/next\_steps (1).png>)
 
 ## **Troubleshooting**