fix internal docusaurus links

docs/website/docs/dlt-ecosystem/destinations/duckdb.md

@@ -118,7 +118,7 @@ to disable tz adjustments.
 
 ## Destination configuration
 
-By default, a DuckDB database will be created in the current working directory with a name `<pipeline_name>.duckdb` (`chess.duckdb` in the example above). After loading, it is available in `read/write` mode via `with pipeline.sql_client() as con:`, which is a wrapper over `DuckDBPyConnection`. See [duckdb docs](https://duckdb.org/docs/api/python/overview#persistent-storage) for details. If you want to read data, use [datasets](../general-usage/dataset-access/dataset) instead of the sql client.
+By default, a DuckDB database will be created in the current working directory with a name `<pipeline_name>.duckdb` (`chess.duckdb` in the example above). After loading, it is available in `read/write` mode via `with pipeline.sql_client() as con:`, which is a wrapper over `DuckDBPyConnection`. See [duckdb docs](https://duckdb.org/docs/api/python/overview#persistent-storage) for details. If you want to read data, use [datasets](../../general-usage/dataset-access/dataset) instead of the sql client.
 
 The `duckdb` credentials do not require any secret values. [You are free to pass the credentials and configuration explicitly](../../general-usage/destination.md#pass-explicit-credentials). For example:
 ```py

docs/website/docs/dlt-ecosystem/transformations/index.md

@@ -15,9 +15,9 @@ If you'd like to transform your data after a pipeline load, you have 3 options a
 
 If you need to preprocess some of your data before it is loaded, you can learn about strategies to:
 
-* [Rename columns](../general-usage/customising-pipelines/renaming_columns)
-* [Pseudonymize columns](../general-usage/customising-pipelines/pseudonymizing_columns)
-* [Remove columns](../general-usage/customising-pipelines/removing_columns)
+* [Rename columns](../../general-usage/customising-pipelines/renaming_columns)
+* [Pseudonymize columns](../../general-usage/customising-pipelines/pseudonymizing_columns)
+* [Remove columns](../../general-usage/customising-pipelines/removing_columns)
 
 This is particularly useful if you are trying to remove data related to PII or other sensitive data, you want to remove columns that are not needed for your use case or you are using a destination that does not support certain data types in your source data.
 

docs/website/docs/dlt-ecosystem/transformations/python.md

@@ -6,12 +6,12 @@ keywords: [transform, pandas]
 
 # Transforming data in python with dataframes or arrow tables
 
-You can transform your data in python using pandas dataframes or arrow tables. To get started, please read the [dataset docs](../general-usage/dataset-access/dataset).
+You can transform your data in python using pandas dataframes or arrow tables. To get started, please read the [dataset docs](../../general-usage/dataset-access/dataset).
 
 
 ## Interactively transforming your data in python
 
-Using the methods explained in the [dataset docs](../general-usage/dataset-access/dataset), you can fetch data from your destination into a dataframe or arrow table in your local python process and work with it interactively. This even works for filesystem destinations:
+Using the methods explained in the [dataset docs](../../general-usage/dataset-access/dataset), you can fetch data from your destination into a dataframe or arrow table in your local python process and work with it interactively. This even works for filesystem destinations:
 
 
 The example below reads GitHub reactions data from the `issues` table and

docs/website/docs/dlt-ecosystem/transformations/sql.md

@@ -14,8 +14,8 @@ connection.
 
 :::info
 * This method will work for all sql destinations supported by `dlt`, but not for the filesystem destination.
-* Read the [sql client docs](../general-usage/dataset-access/dataset) for more information on how to access data with the sql client.
-* If you are simply trying to read data, you should use the powerful [dataset interface](../general-usage/dataset-access/dataset) instead.
+* Read the [sql client docs](../../ general-usage/dataset-access/dataset) for more information on how to access data with the sql client.
+* If you are simply trying to read data, you should use the powerful [dataset interface](../../general-usage/dataset-access/dataset) instead.
 :::
 
 

docs/website/docs/general-usage/dataset-access/dataset.md

@@ -299,7 +299,7 @@ other_pipeline = dlt.pipeline(pipeline_name="other_pipeline", destination="duckd
 other_pipeline.run(limited_items_relation.iter_arrow(chunk_size=10_000), table_name="limited_items")
 ```
 
-Learn more about [transforming data in python with dataframes or arrow tables](../dlt-ecosystem/transformations/python).
+Learn more about [transforming data in python with dataframes or arrow tables](../../dlt-ecosystem/transformations/python).
 
 ### Using `ibis` to query the data