Remove questionable conclusions

docs/setup_installation/admin/alert.md

@@ -142,6 +142,3 @@ receivers:
           <!channel> summary: {{ .Annotations.summary }} description: {{
           .Annotations.description }}
 ```
-
-## Conclusion
-In this guide you learned how to configure alerts in Hopsworks.

docs/setup_installation/admin/audit/audit-logs.md

@@ -66,6 +66,6 @@ Regardless the format, each line in the audit logs can contain the following var
     | pathInfo   | the URL path called by the client                                           |
     | dateTime   | time of the request                                                         |
 
-## Conclusion
+## Going Further
 
-In this guide we showed how you can configure audit logs in Hopsworks from the admin page and access the audit log files via SSH. To learn how to export audit logs, see [Export Audit Logs](../audit/export-audit-logs.md).
+You can [export audit logs](../audit/export-audit-logs.md) to use them outside Hopsworks.

docs/setup_installation/admin/audit/export-audit-logs.md

@@ -51,7 +51,3 @@ bq load --project_id <projectId> \
 
 !!! tip
         This command can be configured to run periodically on a given schedule by setting up a cronjob.
-
-## Conclusion
-
-In this guide you showed how you can export audit logs in your Hopsworks cluster to a BigQuery table.

docs/setup_installation/admin/auth.md

@@ -41,6 +41,3 @@ In the **Cluster Settings** _Authentication_ tab you can configure how users aut
 
 In the figure above we see a cluster with Two-factor authentication disabled, OAuth enabled with one registered 
 identity provider and LDAP authentication enabled. 
-
-## Conclusion
-In this guide you learned how to configure authentication methods in Hopsworks.

docs/setup_installation/admin/ldap/configure-krb.md

@@ -67,6 +67,3 @@ The login page will now have the choice to use Kerberos for authentication.
 
     Make sure that you have Kerberos properly configured on your computer and you are logged in.
     Kerberos support must also be configured on the browser to use Kerberos for authentication.
-
-## Conclusion
-In this guide you learned how to configure Kerberos for authentication.

docs/setup_installation/admin/ldap/configure-ldap.md

@@ -62,7 +62,3 @@ The login page will now have the choice to use LDAP for authentication.
     When group mapping is disabled an administrator needs to activate each user from the [User Management](../user.md) page.
 
     If group mapping is disabled then Account status in LDAP configuration above should be set to ```Verified```.
-
-
-## Conclusion
-In this guide you learned how to configure LDAP for authentication.

docs/setup_installation/admin/ldap/configure-project-mapping.md

@@ -85,7 +85,3 @@ After configuring all the group mappings users will be added to or removed from
 It is also possible to synchronize mappings without requiring users to log out. This can be done by setting ```ldap_group_mapping_sync_interval```
 to an interval greater or equal to 2 minutes. If ```ldap_group_mapping_sync_interval``` is set group mapping sync will run periodically based on the interval and
 add or remove users from projects.
-
-
-## Conclusion
-In this guide you learned how to configure LDAP group to project mapping.

docs/setup_installation/admin/ldap/configure-server.md

@@ -92,6 +92,3 @@ Both Kerberos and LDAP attributes need to be specified to configure Kerberos. Th
 - spnego_server_conf: contains the configuration that will be appended to Payara's (application serve used to host hopsworks) 
   login.conf. In particular, it should contain useKeyTab=true, and the principal name to be used in the authentication phase. 
   Initiator should be set to false.
-
-## Conclusion
-In this guide you learned how to configure the application server for LDAP and Kerberos.

docs/setup_installation/admin/monitoring/export-metrics.md

@@ -3,6 +3,7 @@
 ## Introduction
 Hopsworks services produce metrics which are centrally gathered by [Prometheus](https://prometheus.io/) and visualized in [Grafana](../grafana).
 Although the system is self-contained, it is possible to export these metrics to third-party services or another Prometheus instance.
+This is useful if you have a centralized monitoring system with already configured alerts.
 
 ## Prerequisites
 In order to configure Prometheus to export metrics you need `root` SSH access to either Hopsworks or to the target server depending on the export method you choose below.
@@ -76,7 +77,3 @@ remote_write:
       max_samples_per_send: 5000
       batch_send_deadline: 60s
 ```
-
-## Conclusion
-In this guide we showed how you can push metrics outside of Hopsworks cluster using two methods, (a) federated Prometheus or (b) remote write to a custom service. This configuration is useful if you
-already have a centralized monitoring system with alerts already configured.

docs/setup_installation/admin/monitoring/grafana.md

@@ -46,8 +46,6 @@ The default dashboards are read only and cannot be edited. Additional dashboards
 
     By default Hopsworks keeps metrics information only for the past 15 days. This means that, by default, you will not be able to access health and performance metrics which are older than 15 days.
 
-## Conclusion
+## Going Further
 
-In this guide you learned how to access the Grafana dashboards to monitor the health and performance of the Hopsworks services.
-
-You can find additional documentation on Grafana itself at: [https://grafana.com/docs/](https://grafana.com/docs/)
+You can read [Grafana Documentation](https://grafana.com/docs/) to learn how to use it advancedly.

docs/setup_installation/admin/monitoring/services-logs.md

@@ -40,8 +40,6 @@ Currently only the logs of the following services are collected and indexed: Hop
 
     By default, logs are rotated automatically after 7 days. This means that by default, you will not be able to access logs through OpenSearch Dashboards which are older than 7 days. Depending on the service and on the Hopsworks configuration, you can still access the logs by SSH directly into the machines of the cluster.
 
-## Conclusion
+## Going Further
 
-In this guide you learned how to access the services logs using OpenSearch Dashboards from the Hopsworks admin page. 
-
-You can find additional documentation on OpenSearch Dashboards at: [https://opensearch.org/docs/latest/](https://opensearch.org/docs/latest/)
+You can read [OpenSearch Dashboards Documentation](https://opensearch.org/docs/latest/dashboards/) to learn how to use them advancedly.

docs/setup_installation/admin/oauth2/create-azure-client.md

@@ -104,8 +104,3 @@ Enter the *Redirect URI* and click on *Configure*. The redirect URI is *HOPSWORK
     <figcaption>Configure platform: Redirect</figcaption>
   </figure>
 </p>
-
-
-## Conclusion
-In this guide you learned how to create a client in your Azure identity provider and 
-acquire a _client id_ and a _client secret_.

docs/setup_installation/admin/oauth2/create-client.md

@@ -71,6 +71,3 @@ redirect to your identity provider.
     endpoint of the provider. The well-known URL, will typically be the _Connection URL_ plus 
     `.well-known/openid-configuration`. For the above client it would be 
     `https://dev-86723251.okta.com/.well-known/openid-configuration`.
-
-## Conclusion
-In this guide you learned how to register an identity provider in Hopsworks.

docs/setup_installation/admin/oauth2/create-okta-client.md

@@ -66,7 +66,3 @@ _Okta domain_ (_Connection URL_), _client id_ and _client secret_ generated for
 
     When copying the domain in the figure above make sure to add the url scheme (http:// or https://) when using it 
     in the _Connection URL_ in the [Identity Provider registration form](../create-client).
-
-## Conclusion
-In this guide you learned how to create a client in your Okta identity provider and 
-acquire a _client id_ and a _client secret_.

docs/setup_installation/admin/roleChaining.md

@@ -79,6 +79,3 @@ Add mappings by clicking on *New role chaining*. Enter the project name. Select
 Project member can now create connectors using *temporary credentials* to assume the role you configured. More detail about using temporary credentials can be found [here](../../user_guides/fs/storage_connector/creation/s3.md#temporary-credentials).
 
 Project member can see the list of role they can assume by going the _Project Settings_ -> [Assuming IAM Roles](../../../user_guides/projects/iam_role/iam_role_chaining) page.
-
-## Conclusion
-In this guide you learned how to configure and map AWS IAM roles to project roles in Hopsworks.

docs/setup_installation/admin/services.md

@@ -44,6 +44,3 @@ After you find the correct service you will be able to **start**, **stop** or **
 
     Stopping some services like the web server (glassfish_domain1) is not recommended. If you stop it you will have to
     access the machine running the service and start it with ```systemctl start glassfish_domain1```. 
-
-## Conclusion
-In this guide you learned how to manage services in Hopsworks.

docs/setup_installation/admin/user.md

@@ -113,6 +113,3 @@ A user with a temporary password will see a warning message when going to _Accou
 !!! Note
 
     A temporary password should be changed as soon as possible.
-
-## Conclusion
-In this guide you learned how to manage users in Hopsworks.

docs/user_guides/fs/feature_group/data_validation.md

@@ -212,6 +212,6 @@ You can find the expectationIds in the UI or using `fg.get_expectation_suite` an
 
 The integration between Hopsworks and Great Expectations makes it simple to add a data validation step to your feature engineering pipeline. Build your Expectation Suite and attach it to your Feature Group with a single line of code. No need to add any code to your pipeline or job scripts, calling `fg.insert` will now automatically validate the data before inserting them in the Feature Group. The validation reports are stored along your data in Hopsworks allowing us to provide basic monitoring capabilities to quickly spot a data quality issue in the UI.
 
-## Going further
+## Going Further
 
 If you wish to find out more about how to use the data validation API or best practices for development or production pipelines in Hopsworks, checkout the [advanced guide](data_validation_advanced.md) and [best practices guide](data_validation_best_practices.md).

docs/user_guides/fs/sharing/sharing.md

@@ -92,7 +92,3 @@ fg_a = project_feature_store.get_or_create_feature_group(
 # join above feature groups
 query = shared_fg.select_all().join(fg_a.select_all())
 ```
-
-## Conclusion
-
-In this guide, you learned how to share a feature store and how to join features from different feature stores.

docs/user_guides/mlops/registry/frameworks/python.md

@@ -57,6 +57,6 @@ py_model.save(model_dir)
 
 ```
 
-## Conclusion
+## Going Further
 
-In this guide you learned how to export a Python model to the Model Registry. You can also try attaching an [Input Example](../input_example.md) and a [Model Schema](../input_example.md) to your model to document the shape and type of the data the model was trained on.
+You can attach an [Input Example](../input_example.md) and a [Model Schema](../input_example.md) to your model to document the shape and type of the data the model was trained on.

docs/user_guides/mlops/registry/frameworks/skl.md

@@ -56,6 +56,6 @@ skl_model.save(model_file)
 
 ```
 
-## Conclusion
+## Going Further
 
-In this guide you learned how to export a Scikit-learn model to the Model Registry. You can also try attaching an [Input Example](../input_example.md) and a [Model Schema](../input_example.md) to your model to document the shape and type of the data the model was trained on.
+You can attach an [Input Example](../input_example.md) and a [Model Schema](../input_example.md) to your model to document the shape and type of the data the model was trained on.

docs/user_guides/mlops/registry/frameworks/tf.md

@@ -67,6 +67,6 @@ tf_model.save(model_dir)
 
 ```
 
-## Conclusion
+## Going Further
 
-In this guide you learned how to export a TensorFlow model to the Model Registry. You can also try attaching an [Input Example](../input_example.md) and a [Model Schema](../input_example.md) to your model to document the shape and type of the data the model was trained on.
+You can attach an [Input Example](../input_example.md) and a [Model Schema](../input_example.md) to your model to document the shape and type of the data the model was trained on.

docs/user_guides/mlops/registry/input_example.md

@@ -42,7 +42,3 @@ model = mr.tensorflow.create_model(name="mnist",
 model.save("./model")
 
 ```
-
-## Conclusion
-
-In this guide you learned how to attach an input example to your model.

docs/user_guides/mlops/registry/model_evaluation_images.md

@@ -73,7 +73,3 @@ fig.savefig(model_images_dir + "/confusion_matrix.png")
 py_model = mr.python.create_model(name="py_model")
 py_model.save("./model")
 ```
-
-## Conclusion
-
-In this guide you learned how to attach model evaluation images to a model, visually communicating the model performance and evaluation metrics in the model registry.

docs/user_guides/mlops/registry/model_schema.md

@@ -58,7 +58,3 @@ model = mr.tensorflow.create_model(name="mnist",
 model.save("./model")
 
 ```
-
-## Conclusion
-
-In this guide you learned how to attach an input example to your model.

docs/user_guides/mlops/serving/deployment.md

@@ -202,7 +202,3 @@ Resources include the number of replicas for the deployment as well as the resou
 ## API protocol
 
 Hopsworks supports both REST and gRPC as the API protocols to send inference requests to model deployments. In general, you use gRPC when you need lower latency inference requests. To learn more about the REST and gRPC API protocols for model deployments, see the [API Protocol Guide](api-protocol.md).
-
-## Conclusion
-
-In this guide you learned how to create a deployment.

docs/user_guides/mlops/serving/predictor.md

@@ -276,7 +276,3 @@ Resources include the number of replicas for the deployment as well as the resou
 ## API protocol
 
 Hopsworks supports both REST and gRPC as the API protocols to send inference requests to model deployments. In general, you use gRPC when you need lower latency inference requests. To learn more about the REST and gRPC API protocols for model deployments, see the [API Protocol Guide](api-protocol.md).
-
-## Conclusion
-
-In this guide you learned how to configure a predictor.

docs/user_guides/mlops/serving/transformer.md

@@ -176,7 +176,3 @@ A number of different environment variables is available in the transformer to e
     | MODEL_NAME   | Name of the model being served by the current deployment |
     | MODEL_VERSION | Version of the model being served by the current deployment |
     | ARTIFACT_VERSION       | Version of the model artifact being served by the current deployment |
-
-## Conclusion
-
-In this guide you learned how to configure a transformer.

docs/user_guides/mlops/vector_database/index.md

@@ -162,7 +162,3 @@ pp.pprint(response)
 [k-NN plugin](https://opensearch.org/docs/1.3/search-plugins/knn/knn-index/)
 
 [OpenSearch](https://docs.hopsworks.ai/hopsworks-api/{{{ hopsworks_version }}}/generated/api/open_search/)
-
-## Conclusion
-
-In this guide you learned how to create a simple recommendation application.

docs/user_guides/projects/auth/krb.md

@@ -54,6 +54,3 @@ After clicking on **Register** you will be redirected to the landing page:
 
 In the landing page, you will find two buttons. Use these buttons to either create a 
 _demo project_ or [a new project](../../../projects/project/create_project).
-
-## Conclusion
-In this guide you learned how to log in to Hopsworks using Kerberos.

docs/user_guides/projects/auth/ldap.md

@@ -38,6 +38,3 @@ After clicking on **Register** you will be redirected to the landing page:
 
 In the landing page, you will find two buttons. Use these buttons to either create a 
 _demo project_ or [a new project](../../../projects/project/create_project).
-
-## Conclusion
-In this guide you learned how to log in to Hopsworks using LDAP.

docs/user_guides/projects/auth/login.md

@@ -35,6 +35,3 @@ Upon successful login, you will arrive at the landing page:
 
 In the landing page, you will find two buttons. Use these buttons to either create a 
 _demo project_ or [a new project](../../../projects/project/create_project).
-
-## Conclusion
-In this guide you learned how to log in to Hopsworks.

docs/user_guides/projects/auth/oauth.md

@@ -33,6 +33,3 @@ After clicking on **Register** you will be redirected to the landing page:
 
 In the landing page, you will find two buttons. Use these buttons to either create a 
 _demo project_ or [a new project](../../../projects/project/create_project).
-
-## Conclusion
-In this guide you learned how to log in to Hopsworks using Third-party Identity Provider.

docs/user_guides/projects/auth/profile.md

@@ -48,6 +48,3 @@ If you miss this step, you will have to recover your smartphone credentials at a
   </figure>
 
 Use the one time password generated by your authenticator app to confirm the registration.
-
-## Conclusion
-In this guide you learned how to edit your profile and credentials.

docs/user_guides/projects/auth/recovery.md

@@ -17,6 +17,3 @@ If you forget your password start by clicking on **Forgot password** on the logi
 ### Step 2: Use the password reset link
 A password reset link will be sent to the email address you entered if the email is found in the system.
 Click on the reset link to set your new password.
-
-## Conclusion
-In this guide you learned how to recover your password.

docs/user_guides/projects/auth/registration.md

@@ -38,6 +38,3 @@ After your account is created an administrator needs to validate your account be
     <img width="400px" src="../../../../assets/images/auth/account-created.png" alt="Register" />
     <figcaption>Account created</figcaption>
   </figure>
-
-## Conclusion
-In this guide you learned how to create an account in Hopsworks.

docs/user_guides/projects/git/clone_repo.md

@@ -112,6 +112,6 @@ Cloning a large repo or checking out a large branch may hit timeout errors. You
 ### Symlink errors
 Git repositories with symlinks are not yet supported, therefore cloning repositories with symlinks will fail. You can create a separate branch to remove the symlinks, and clone from this branch.
 
-## Conclusion
+## Going Further
 
-In this guide you learned how to clone a Git repository. You can now start [Jupyter](../jupyter/python_notebook.md) from the cloned git repository path to work with the files.
+You can now start [Jupyter](../jupyter/python_notebook.md) from the cloned git repository path to work with the files.

docs/user_guides/projects/git/configure_git_provider.md

@@ -82,6 +82,6 @@ git_api.set_provider(PROVIDER, GITHUB_USER, API_TOKEN)
 
 [GitProvider](https://docs.hopsworks.ai/hopsworks-api/{{{ hopsworks_version }}}/generated/api/git_provider/)
 
-## Conclusion
+## Going Further
 
-In this guide you learned how configure your git provider credentials. You can now use the credentials to [clone a repository](clone_repo.md) from the configured provider.
+You can now use the credentials to [clone a repository](clone_repo.md) from the configured provider.

docs/user_guides/projects/iam_role/iam_role_chaining.md

@@ -27,6 +27,3 @@ In the _Project Settings_ page you can find the _IAM Role Chaining_ section show
 ### Step 2: Use the IAM role 
 
 You can now use the IAM roles listed in your project when creating a storage connector with [Temporary Credentials](../../../fs/storage_connector/creation/s3/#temporary-credentials).
-
-## Conclusion
-In this guide you learned how to use IAM roles on a cluster deployed on an EC2 instances.

docs/user_guides/projects/jobs/notebook_job.md

@@ -171,7 +171,3 @@ execution = job.run(args='-p a 2 -p b 5', await_termination=True)
 [Jobs](https://docs.hopsworks.ai/hopsworks-api/{{{ hopsworks_version }}}/generated/api/jobs/)
 
 [Executions](https://docs.hopsworks.ai/hopsworks-api/{{{ hopsworks_version }}}/generated/api/executions/)
-
-## Conclusion
-
-In this guide you learned how to create and run a Jupyter Notebook job.

docs/user_guides/projects/jobs/pyspark_job.md

@@ -216,7 +216,3 @@ print(f_err.read())
 [Jobs](https://docs.hopsworks.ai/hopsworks-api/{{{ hopsworks_version }}}/generated/api/jobs/)
 
 [Executions](https://docs.hopsworks.ai/hopsworks-api/{{{ hopsworks_version }}}/generated/api/executions/)
-
-## Conclusion
-
-In this guide you learned how to create and run a PySpark job.

docs/user_guides/projects/jobs/python_job.md

@@ -168,7 +168,3 @@ print(f_err.read())
 [Jobs](https://docs.hopsworks.ai/hopsworks-api/{{{ hopsworks_version }}}/generated/api/jobs/)
 
 [Executions](https://docs.hopsworks.ai/hopsworks-api/{{{ hopsworks_version }}}/generated/api/executions/)
-
-## Conclusion
-
-In this guide you learned how to create and run a Python job.

docs/user_guides/projects/jobs/spark_job.md

@@ -217,7 +217,3 @@ print(f_err.read())
 [Jobs](https://docs.hopsworks.ai/hopsworks-api/{{{ hopsworks_version }}}/generated/api/jobs/)
 
 [Executions](https://docs.hopsworks.ai/hopsworks-api/{{{ hopsworks_version }}}/generated/api/executions/)
-
-## Conclusion
-
-In this guide you learned how to create and run a Spark job.

docs/user_guides/projects/jupyter/python_notebook.md

@@ -83,6 +83,6 @@ Start the Jupyter instance by clicking the `Run Jupyter` button.
 </p>
 
 
-## Conclusion
+## Going Further
 
-In this guide you learned how to configure and run a Python application in Jupyter. You can now follow this [guide](../python/python_install.md) to install a library that can be used in a notebook.
+You can learn how to [install a library](../python/python_install.md) so that it can be used in a notebook.