[DOCS-12615] Data Observability reorg

config/_default/menus/main.en.yaml

@@ -21,24 +21,27 @@ menu:
     - name: Application Performance
       identifier: apm_heading
       weight: 7000000
+    - name: Data Observability
+      identifier: data_observability_heading
+      weight: 8000000
     - name: Digital Experience
       identifier: digital_experience_heading
-      weight: 8000000
+      weight: 9000000
     - name: Software Delivery
       identifier: software_delivery_heading
-      weight: 9000000
+      weight: 10000000
     - name: Security
       identifier: security_platform_heading
-      weight: 10000000
+      weight: 11000000
     - name: AI Observability
       identifier: ai_observability_heading
-      weight: 11000000
+      weight: 12000000
     - name: Log Management
       identifier: log_management_heading
-      weight: 12000000
+      weight: 13000000
     - name: Administration
       identifier: administration_heading
-      weight: 13000000
+      weight: 14000000
     - name: Getting Started
       identifier: getting_started
       url: getting_started/
@@ -4891,23 +4894,64 @@ menu:
       identifier: data_streams_metrics_and_tags
       parent: data_streams
       weight: 5
-    - name: Data Jobs Monitoring
-      url: data_jobs/
+    - name: Quality Monitoring
+      url: data_observability/quality_monitoring/
+      pre: inventories
+      identifier: quality_monitoring
+      parent: data_observability_heading
+      weight: 60000
+    - name: Data Quality
+      url: data_observability/data_quality
+      identifier: data_quality
+      parent: quality_monitoring
+      weight: 100000
+    - name: Jobs Monitoring
+      url: data_observability/jobs_monitoring/
       pre: data-jobs-monitoring
       identifier: data_jobs
-      parent: apm_heading
-      weight: 60000
-    - name: Data Observability
-      url: data_observability/
-      pre: inventories
-      identifier: data_observability
-      parent: apm_heading
+      parent: data_observability_heading
       weight: 70000
-    - name: Datasets
-      url: data_observability/datasets
-      identifier: datasets
-      parent: data_observability
+    - name: Integrations
+      url: data_observability/integrations
+      pre: integrations
+      identifier: data_integrations
+      parent: data_observability_heading
+      weight: 80000
+    - name: Warehouse Integrations
+      url: data_observability/integrations/warehouse
+      identifier: warehouse_integrations
+      parent: data_integrations
       weight: 100000
+    - name: Snowflake
+      url: data_observability/integrations/warehouse/snowflake
+      identifier: snowflake
+      parent: warehouse_integrations
+      weight: 1000000
+    - name: Databricks
+      url: data_observability/integrations/warehouse/databricks
+      identifier: databricks
+      parent: warehouse_integrations
+      weight: 2000000
+    - name: BigQuery
+      url: data_observability/integrations/warehouse/bigquery
+      identifier: bigquery
+      parent: warehouse_integrations
+      weight: 3000000
+    - name: Transformation Integrations
+      url: data_observability/transformation
+      identifier: transformation_integrations
+      parent: data_integrations
+      weight: 200000
+    - name: Business Intelligence Integrations
+      url: data_observability/business_intelligence
+      identifier: business_intelligence_integrations
+      parent: data_integrations
+      weight: 300000
+    - name: OpenLineage Integrations
+      url: data_observability/openlineage
+      identifier: openlineage_integrations
+      parent: data_integrations
+      weight: 400000
     - name: LLM Observability
       url: llm_observability/
       pre: llm-observability

content/en/data_observability/_index.md

@@ -2,7 +2,7 @@
 title: Data Observability
 description: "Monitor data quality, performance, and cost with Data Observability to detect anomalies, analyze data lineage, and prevent issues affecting downstream systems."
 further_reading:
-  - link: '/data_observability/datasets'
+  - link: '/data_observability/data_quality'
     tag: 'Documentation'
     text: 'Datasets'
   - link: '/data_jobs'

content/en/data_observability/datasets.md → content/en/data_observability/data_quality.md

@@ -1,6 +1,8 @@
 ---
-title: "Data Observability: Datasets"
+title: "Data Quality"
 description: "Set up Data Observability for datasets to detect freshness delays, unusual data patterns, and column-level metric changes in Snowflake and BigQuery."
+aliases:
+  - /data_observability/datasets
 further_reading:
   - link: '/data_observability'
     tag: 'Documentation'

content/en/data_observability/integrations/_index.md

@@ -0,0 +1,13 @@
+---
+title: Data Integrations
+description: 
+further_reading:
+  - link: '/data_observability/data_quality'
+    tag: 'Documentation'
+    text: 'Datasets'
+---
+## Overview
+
+## Further reading
+
+{{< partial name="whats-next/whats-next.html" >}}

content/en/data_observability/integrations/warehouse/bigquery.md

@@ -0,0 +1,14 @@
+---
+title: Big Query
+description: 
+further_reading:
+  - link: '/data_observability/data_quality'
+    tag: 'Documentation'
+    text: 'Datasets'
+
+---
+## Overview
+
+## Further reading
+
+{{< partial name="whats-next/whats-next.html" >}}

content/en/data_observability/integrations/warehouse/databricks.md

@@ -0,0 +1,14 @@
+---
+title: Databricks
+description: 
+further_reading:
+  - link: '/data_observability/data_quality'
+    tag: 'Documentation'
+    text: 'Datasets'
+
+---
+## Overview
+
+## Further reading
+
+{{< partial name="whats-next/whats-next.html" >}}

content/en/data_observability/integrations/warehouse/snowflake.md

@@ -0,0 +1,14 @@
+---
+title: Snowflake
+description: 
+further_reading:
+  - link: '/data_observability/data_quality'
+    tag: 'Documentation'
+    text: 'Datasets'
+
+---
+## Overview
+
+## Further reading
+
+{{< partial name="whats-next/whats-next.html" >}}

content/en/data_jobs/_index.md → content/en/data_observability/jobs_monitoring/_index.md

@@ -1,6 +1,8 @@
 ---
 title: Data Jobs Monitoring
 description: "Monitor performance, reliability, and cost efficiency of data processing jobs across platforms like EMR, Databricks, Dataproc, and Kubernetes."
+aliases:
+  - /data_jobs/
 further_reading:
   - link: '/data_streams'
     tag: 'Documentation'

content/en/data_jobs/airflow.md → content/en/data_observability/jobs_monitoring/airflow.md

@@ -3,6 +3,8 @@ title: Enable Data Jobs Monitoring for Apache Airflow
 description: "Monitor Apache Airflow DAG workflows with Data Jobs Monitoring using OpenLineage provider across Kubernetes, Amazon MWAA, and other platforms."
 is_beta: true
 private: true
+aliases:
+  - /data_jobs/airflow
 further_reading:
     - link: 'https://www.datadoghq.com/blog/data-jobs-monitoring/'
       tag: 'blog'

content/en/data_jobs/databricks.md → content/en/data_observability/jobs_monitoring/databricks.md

@@ -1,6 +1,8 @@
 ---
 title: Enable Data Jobs Monitoring for Databricks
 description: "Enable Data Jobs Monitoring for Databricks workspaces with OAuth or Personal Access Token authentication and Datadog Agent installation."
+aliases:
+  - /data_jobs/databricks
 further_reading:
     - link: '/data_jobs'
       tag: 'Documentation'

content/en/data_jobs/dataproc.md → content/en/data_observability/jobs_monitoring/dataproc.md

@@ -1,6 +1,8 @@
 ---
 title: Enable Data Jobs Monitoring for Spark on Google Cloud Dataproc
 description: "Set up Data Jobs Monitoring for Apache Spark applications on Google Cloud Dataproc clusters with API key configuration and service tagging."
+aliases:
+  - /data_jobs/dataproc
 further_reading:
     - link: '/data_jobs'
       tag: 'Documentation'

content/en/data_jobs/emr.md → content/en/data_observability/jobs_monitoring/emr.md

@@ -1,6 +1,8 @@
 ---
 title: Enable Data Jobs Monitoring for Spark on Amazon EMR
 description: "Configure Data Jobs Monitoring for Apache Spark applications on Amazon EMR clusters using AWS Secrets Manager and bootstrap actions."
+aliases:
+  - /data_jobs/emr
 further_reading:
     - link: '/data_jobs'
       tag: 'Documentation'

content/en/data_jobs/kubernetes.md → content/en/data_observability/jobs_monitoring/kubernetes.md

@@ -1,6 +1,8 @@
 ---
 title: Data Jobs Monitoring for Spark on Kubernetes
 description: "Set up Data Jobs Monitoring for Apache Spark applications on Kubernetes clusters using the Datadog Agent and admission controller."
+aliases:
+  - /data_jobs/kubernetes
 further_reading:
     - link: '/data_jobs'
       tag: 'Documentation'

content/en/database_monitoring/guide/_index.md

@@ -1,6 +1,7 @@
 ---
 title: Database Monitoring Guides
-
+aliases:
+- /database_monitoring/guide
 private: true
 disable_toc: true
 cascade:

content/en/database_monitoring/guide/aurora_autodiscovery.md

@@ -1,6 +1,7 @@
 ---
 title: Configuring Database Monitoring for Amazon Aurora DB Clusters
-
+aliases:
+- /database_monitoring/aurora_autodiscovery
 ---
 
 This guide assumes you have configured Database Monitoring for your Amazon Aurora [Postgres][1] or [MySQL][11] databases.

content/en/database_monitoring/guide/database_identifier.md

@@ -1,6 +1,8 @@
 ---
 title: Identifying Databases for Database Monitoring
 description: Understand how to identify your databases and hosts for DBM
+aliases:
+- /database_monitoring/database_identifier
 further_reading:
 - link: "/database_monitoring/"
   tag: "Documentation"

content/en/database_monitoring/guide/managed_authentication.md

@@ -1,6 +1,7 @@
 ---
 title: Connecting with Managed Authentication
-
+aliases:
+- /database_monitoring/managed_authentication
 ---
 
 This guide assumes that you have configured [Database Monitoring][1].

content/en/database_monitoring/guide/parameterized_queries.md

@@ -1,5 +1,7 @@
 ---
 title: Capturing SQL Query Parameter Values With Database Monitoring
+aliases:
+- /database_monitoring/parameterized_queries
 further_reading:
 - link: "/database_monitoring/"
   tag: "Documentation"

content/en/database_monitoring/guide/pg15_upgrade.md

@@ -1,6 +1,7 @@
 ---
 title: Upgrading to PostgreSQL 15 and higher
-
+aliases:
+- /database_monitoring/pg15_upgrade
 ---
 
 Run this command on each database host to enable the additional permission needed for the `datadog` user:

content/en/database_monitoring/guide/rds_autodiscovery.md

@@ -1,6 +1,7 @@
 ---
 title: Configuring Database Monitoring for Amazon RDS DB Instances
-
+aliases:
+- /database_monitoring/rds_autodiscovery
 ---
 
 This guide assumes you have configured Database Monitoring for your Amazon RDS [Postgres][1] or [MySQL][11] databases.

content/en/database_monitoring/guide/sql_alwayson.md

@@ -1,5 +1,7 @@
 ---
 title: Exploring SQL Server AlwaysOn Availability Groups
+aliases:
+- /database_monitoring/sql_alwayson
 further_reading:
 - link: "/database_monitoring/"
   tag: "Documentation"

content/en/database_monitoring/guide/sql_deadlock.md

@@ -1,5 +1,7 @@
 ---
 title: Configuring Deadlock Monitoring on SQL Server
+aliases:
+- /database_monitoring/sql_deadlock
 further_reading:
 - link: "/database_monitoring/"
   tag: "Documentation"

content/en/database_monitoring/guide/sql_extended_events.md

@@ -1,5 +1,7 @@
 ---
 title: Configuring Query Completion and Query Error Capture on SQL Server
+aliases:
+- /database_monitoring/sql_extended_events
 further_reading:
 - link: "/database_monitoring/"
   tag: "Documentation"

content/en/database_monitoring/guide/tag_database_statements.md

@@ -1,6 +1,7 @@
 ---
 title: Tagging SQL Statements
-
+aliases:
+- /database_monitoring/tag_database_statements
 ---
 
 This guide assumes that you have configured [Database Monitoring][1].

content/en/database_monitoring/setup_documentdb/_index.md

@@ -1,5 +1,7 @@
 ---
 title: Setting up Amazon DocumentDB
+aliases:
+- /database_monitoring/setup_documentdb
 description: Setting up Database Monitoring on a Amazon DocumentDB cluster
 disable_sidebar: true
 ---

content/en/database_monitoring/setup_documentdb/amazon_documentdb.md

@@ -1,5 +1,7 @@
 ---
 title: Setting Up Database Monitoring for Amazon DocumentDB
+aliases:
+- /database_monitoring/setup_documentdb/amazon_documentdb
 ---
 
 Database Monitoring offers comprehensive insights into your Amazon DocumentDB (with MongoDB compatibility) databases by providing access to critical metrics, operation samples, explain plans, and replication state changes. To take advantage of Database Monitoring for Amazon DocumentDB, ensure that the Datadog Agent is installed and configured to connect to your Amazon DocumentDB instances. This guide outlines the steps to set up Database Monitoring for Amazon DocumentDB.

data/partials/home.yaml

@@ -99,10 +99,10 @@ nav_sections:
         link: data_streams/
         icon: datastreams-monitoring
         desc: Track and improve performance of your data streaming pipelines
-      - title: Data Jobs Monitoring
-        link: data_jobs/
+      - title: Data Observability
+        link: data_observability/
         icon: data-jobs-monitoring
-        desc: Monitor and optimize your data processing jobs
+        desc: Monitor data quality, performance, and cost
       - title: Universal Service Monitoring
         link: universal_service_monitoring/
         icon: usm