(iceberg-python) branch main updated: Docs: Update new iceberg catalog link (#1701)

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The following commit(s) were added to refs/heads/main by this push:
     new a58f099a Docs: Update new iceberg catalog link (#1701)
a58f099a is described below

commit a58f099aa501f6fd4345a331295d81fe0133554f
Author: Kevin Liu <ke...@users.noreply.github.com>
AuthorDate: Fri Feb 21 14:50:52 2025 -0500

    Docs: Update new iceberg catalog link (#1701)
    
    https://iceberg.apache.org/concepts/catalog/ was moved to
    https://iceberg.apache.org/terms/#catalog
---
 mkdocs/docs/index.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/mkdocs/docs/index.md b/mkdocs/docs/index.md
index 2becd10c..714baa0d 100644
--- a/mkdocs/docs/index.md
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@@ -64,7 +64,7 @@ You either need to install `s3fs`, `adlfs`, `gcsfs`, or `pyarrow` to be able to
 
 ## Connecting to a catalog
 
-Iceberg leverages the [catalog to have one centralized place to organize the tables](https://iceberg.apache.org/concepts/catalog/). This can be a traditional Hive catalog to store your Iceberg tables next to the rest, a vendor solution like the AWS Glue catalog, or an implementation of Icebergs' own [REST protocol](https://github.com/apache/iceberg/tree/main/open-api). Checkout the [configuration](configuration.md) page to find all the configuration details.
+Iceberg leverages the [catalog to have one centralized place to organize the tables](https://iceberg.apache.org/terms/#catalog). This can be a traditional Hive catalog to store your Iceberg tables next to the rest, a vendor solution like the AWS Glue catalog, or an implementation of Icebergs' own [REST protocol](https://github.com/apache/iceberg/tree/main/open-api). Checkout the [configuration](configuration.md) page to find all the configuration details.
 
 For the sake of demonstration, we'll configure the catalog to use the `SqlCatalog` implementation, which will store information in a local `sqlite` database. We'll also configure the catalog to store data files in the local filesystem instead of an object store. This should not be used in production due to the limited scalability.