[MAINTENANCE] Rename and move V17 snippets to legacy docs dir

docs/docusaurus/versioned_docs/version-0.17.23/components/prerequisites/_gx_installed_with_abs_dependencies.md

@@ -1 +1,3 @@
-<span><a href='/docs/guides/setup/installation/install_gx'>A working installation of Great Expectations with dependencies for Azure Blob Storage</a></span>
+import VersionedLink from '@site/src/components/VersionedLink';
+
+<span><VersionedLink to='/guides/setup/installation/install_gx'>A working installation of Great Expectations with dependencies for Azure Blob Storage</VersionedLink></span>

docs/docusaurus/versioned_docs/version-0.17.23/deployment_patterns/how_to_instantiate_a_data_context_hosted_environments.md

@@ -19,7 +19,7 @@ To configure a Data Context for a specific environment, see one of the following
 
 ## Create Expectation Suites and add Expectations
 
-To add a Data Source and an Expectation Suite, see [How to connect to a PostgreSQL database](/guides/connecting_to_your_data/database/connect_sql_source_data.md?sql-database-type=postgresql).
+To add a Data Source and an Expectation Suite, see [How to connect to a PostgreSQL database](/guides/connecting_to_your_data/fluent/database/connect_sql_source_data.md?sql-database-type=postgresql).
 
 To add Expectations to your Suite individually, use the following code:
 

docs/docusaurus/versioned_docs/version-0.17.23/deployment_patterns/how_to_use_great_expectations_with_google_cloud_platform_and_bigquery.md

@@ -135,7 +135,7 @@ If successful, the `gcloud` CLI will provide the URL to your app and launch it i
 
 ### 4. Connect to your Data
 
-The remaining sections in Part 1 contain descriptions of [how to connect to your data in Google Cloud Storage (GCS) or BigQuery](/guides/connecting_to_your_data/fluent/database/connect_sql_source_data) and build a <TechnicalTag tag="checkpoint" text="Checkpoint"/> that you'll migrate to Google Cloud Composer. 
+The remaining sections in Part 1 contain descriptions of [how to connect to your data in Google Cloud Storage (GCS) or BigQuery](/guides/connecting_to_your_data/fluent/database/connect_sql_source_data.md) and build a <TechnicalTag tag="checkpoint" text="Checkpoint"/> that you'll migrate to Google Cloud Composer. 
 
 More details can be found in the corresponding How to Guides, which have been linked.
 

docs/docusaurus/versioned_docs/version-0.17.23/guides/connecting_to_your_data/components/next_steps.md

@@ -1,5 +1,5 @@
 Now that you've connected to your data, you'll want to work on these **core skills**:
 
-- [How to create a Batch of data from an in-memory Spark or Pandas dataframe](/docs/0.15.50/guides/connecting_to_your_data/how_to_create_a_batch_of_data_from_an_in_memory_spark_or_pandas_dataframe)
+<!-- - [How to create a Batch of data from an in-memory Spark or Pandas dataframe](/docs/guides/connecting_to_your_data/how_to_create_a_batch_of_data_from_an_in_memory_spark_or_pandas_dataframe) -->
 - [How to create and edit Expectations with instant feedback from a sample Batch of data](../../expectations/how_to_create_and_edit_expectations_with_instant_feedback_from_a_sample_batch_of_data.md)
 - [How to create and edit Expectations based on domain knowledge, without inspecting data directly](../../expectations/how_to_create_and_edit_expectations_based_on_domain_knowledge_without_inspecting_data_directly.md)

docs/docusaurus/versioned_docs/version-0.17.23/guides/expectations/data_assistants/how_to_create_an_expectation_suite_with_the_missingness_data_assistant.md

@@ -21,7 +21,7 @@ All the code used in the examples is available in GitHub at this location: [how_
 
 - A [configured Data Context](/guides/setup/configuring_data_contexts/instantiating_data_contexts/instantiate_data_context.md).
 - An understanding of how to [configure a Datasource](../../connecting_to_your_data/connect_to_data_lp.md).
-- An understanding of how to [configure a Batch Request](../../../connecting_to_your_data/fluent/batch_requests/how_to_request_data_from_a_data_asset.md).
+- An understanding of how to [configure a Batch Request](/guides/connecting_to_your_data/fluent/batch_requests/how_to_request_data_from_a_data_asset.md).
 
 </Prerequisites>
 

docs/docusaurus/versioned_docs/version-0.17.23/guides/expectations/data_assistants/how_to_create_an_expectation_suite_with_the_onboarding_data_assistant.md

@@ -15,7 +15,7 @@ All the code used in the examples is available in GitHub at this location: [how_
 
 - A [configured Data Context](/guides/setup/configuring_data_contexts/instantiating_data_contexts/instantiate_data_context.md).
 - An understanding of how to [configure a Data Source](../../connecting_to_your_data/connect_to_data_lp.md).
-- An understanding of how to [configure a Batch Request](../../../connecting_to_your_data/fluent/batch_requests/how_to_request_data_from_a_data_asset.md).
+- An understanding of how to [configure a Batch Request](/guides/connecting_to_your_data/fluent/batch_requests/how_to_request_data_from_a_data_asset.md).
 
 </Prerequisites>
 

docs/docusaurus/versioned_docs/version-0.17.23/guides/setup/get_started_lp.md

@@ -7,8 +7,9 @@ description: Install Great Expectations and initialize your deployment.
 
 import LinkCardGrid from '@site/src/components/LinkCardGrid';
 import LinkCard from '@site/src/components/LinkCard';
+import VersionedLink from '@site/src/components/VersionedLink'
 
-<p class="DocItem__header-description">Start here if you're unfamiliar with Great Expectations (GX), or you want to use GX with Databricks or a SQL Data Source in a production environment. To install and configure GX in your specific production environment, see <a href='/docs/guides/setup/setup_overview_lp'>Set up your Great Expectations environment</a>. </p>
+<p class="DocItem__header-description">Start here if you're unfamiliar with Great Expectations (GX), or you want to use GX with Databricks or a SQL Data Source in a production environment. To install and configure GX in your specific production environment, see <VersionedLink to='/guides/setup/setup_overview_lp'>Set up your Great Expectations environment</VersionedLink>. </p>