Fix based on Kik's comments

src/SUMMARY.md

@@ -14,12 +14,12 @@
       - [Using the Data Catalog](cookbooks/analysis/data_catalog.md)
       - [Using the Glean Dictionary](cookbooks/analysis/glean_dictionary.md)
       - [Using the Probe Dictionary](cookbooks/analysis/probe_dictionary.md)
-    - [Data Quality - Intro to Bigeye](cookbooks/data_quality/intro.md)
-      - [Features](cookbooks/data_quality/features.md)
-      - [Collections](cookbooks/data_quality/collections.md)
-      - [Deploying Metrics](cookbooks/data_quality/deploying_metrics.md)
-      - [Issues Management](cookbooks/data_quality/issues_management.md)
-      - [Going Deeper](cookbooks/data_quality/going_deeper.md)
+    - [Data Monitoring - Intro to Bigeye](cookbooks/data_monitoring/intro.md)
+      - [Features](cookbooks/data_monitoring/features.md)
+      - [Collections](cookbooks/data_monitoring/collections.md)
+      - [Deploying Metrics](cookbooks/data_monitoring/deploying_metrics.md)
+      - [Issues Management](cookbooks/data_monitoring/issues_management.md)
+      - [Further Reading](cookbooks/data_monitoring/further_reading.md)
     - [Data Modeling](cookbooks/data_modeling/index.md)
       - [Where to store the data model assets](cookbooks/data_modeling/where_to_store.md)
       - [Using aggregates in BigQuery and Looker](cookbooks/data_modeling/using_aggregates.md)

src/cookbooks/data_quality/features.md → src/cookbooks/data_monitoring/features.md

@@ -39,4 +39,11 @@ For more details, refer to the Bigeye documentation on [Issues page](https://doc
 
 ### Dashboard
 
-Users can mmonitor the data quality metrics and issues in a centralized view. It highlights key features such as customizable widgets, real-time metric tracking, and the ability to visualize data health at a glance. Users can configure dashboards to focus on specific metrics or tables and receive immediate insights into their data pipelines' performance.
+Users can monitor the data quality metrics and issues in a centralized view. It highlights key features such as customizable widgets, real-time metric tracking, and the ability to visualize data health at a glance. Users can configure dashboards to focus on specific metrics or tables and receive immediate insights into their data pipelines' performance.
+
+For additional guidance on using Bigeye Dashboard, please refer to the following documentation:
+
+- [How to set filters](https://docs.bigeye.com/docs/dashboard#set-filters)
+- [Monitoring Coverage](https://docs.bigeye.com/docs/dashboard#monitoring-coverage)
+- [Tracking Data Quality](https://docs.bigeye.com/docs/dashboard#data-quality)
+- [Issue Response Metrics](https://docs.bigeye.com/docs/dashboard#issue-response)

src/cookbooks/data_monitoring/further_reading.md

@@ -0,0 +1,15 @@
+## Further reading
+
+- Kinds of [alert thresholds](https://www.youtube.com/watch?v=8DWyZuU-w1c&t=9s) that Bigeye supports
+
+- Use [Deltas](https://www.youtube.com/watch?v=la8pq7rjT-M&list=PLUmsPWeo8j4U9SpGCnAe9syilD4_jBgSI&index=9) to compare datasets and validate successful data replication, migration, or model code changes.
+
+- [Row Creation](https://www.youtube.com/watch?v=TmwyEfq1Xgo&list=PLUmsPWeo8j4U9SpGCnAe9syilD4_jBgSI&index=4) - Concept of row creation time and how helps save costs and optimize your data observability 
+
+- [Creating a schedule and assigning it to a metric](https://docs.bigeye.com/docs/schedules)
+
+- Creating a [Metric Template](https://www.youtube.com/watch?v=8YVIQIbec6k&list=PLUmsPWeo8j4U9SpGCnAe9syilD4_jBgSI&index=14) in order to provide specific functionality.
+
+- [Grouped metrics](https://www.youtube.com/watch?v=mhPttWI15ro&list=PLUmsPWeo8j4U9SpGCnAe9syilD4_jBgSI&index=8) allow you to employ group by aggregation.
+
+- [Lookback window](https://docs.bigeye.com/docs/metric-window-types)