Refactoring: Relocate content from "explain" into "solution" again

Author: amotl

docs/explain/index.md

@@ -11,136 +11,3 @@ Broaden and deepen your knowledge and understanding of CrateDB subject matters.
 The explanatory guides in this section provide more context and background
 about applications and use cases of CrateDB, trying to put things into a
 bigger picture and joining things together to help answer the question _why_?
-
-## Topics
-
-:::{div} sd-text-muted
-Time series data analytics and machine learning.
-:::
-
-::::{grid} 1 2 2 2
-:gutter: 2
-:padding: 0
-
-:::{grid-item-card} {material-outlined}`stacked_line_chart;2em` Time series data
-:link: timeseries
-:link-type: ref
-:link-alt: About CrateDB for time series data analysis
-Enhance your understanding how to use CrateDB for time series use-cases,
-and how to apply time series modeling and analysis procedures to your data.
-+++
-**What's inside:**
-- Advanced statistical analysis
-- Data visualization
-- Machine learning
-- Scientific computing
-:::
-
-:::{grid-item-card} {material-outlined}`model_training;2em` Machine learning
-:link: machine-learning
-:link-type: ref
-:link-alt: About CrateDB for machine learning applications
-Get an overview about how CrateDB provides support for different kinds of
-machine learning tasks, and learn how to integrate CrateDB with machine
-learning frameworks and tools.
-+++
-**What's inside:**
-- Vector store: Vector search, Hybrid search, LangChain
-- Text-to-SQL: LlamaIndex, MCP, MindsDB
-- Time series analysis: R, TensorFlow
-- MLOps and model training: MLflow, PyCaret, scikit-learn
-:::
-
-::::
-
-
-(use-cases)=
-## Use cases
-
-:::{div} sd-text-muted
-Learn about solutions built with CrateDB and
-how others are using CrateDB successfully.
-:::
-
-CrateDB is being developed in an open-source spirit, and closely together
-with its users and customers. Learn about application scenarios where CrateDB
-derives many foundational features from, and how others are using CrateDB to
-build real-time data management and analytics solutions and platforms.
-
-::::{grid} 1 2 2 2
-:margin: 4 4 0 0
-:padding: 0
-:gutter: 2
-
-:::{grid-item-card} {material-outlined}`precision_manufacturing;2em` Industrial big data
-:link: industrial
-:link-type: ref
-:link-alt: Use CrateDB in industrial data platforms
-Learn how others are successfully using CrateDB within industrial,
-engineering, manufacturing, production, and logistics domains.
-+++
-**What's inside:**
-About the unique challenges and complexities of industrial big data.
-:::
-
-:::{grid-item-card} {material-outlined}`analytics;2em` Real-time analytics on raw data
-:link: analytics
-:link-type: ref
-:link-alt: About CrateDB's analytics features
-CrateDB provides real-time analytics on raw data.
-Learn how others are successfully running real-time multi-tenant data
-analytics applications on top of billions of records.
-+++
-**What's inside:**
-If you absolutely must keep the records, because they are unique,
-downsampling is not an option.
-:::
-
-::::
-
-## See also
-
-:::{div} sd-text-muted
-Other notable features of CrateDB.
-:::
-
-::::{grid} 1 2 2 2
-:margin: 4 4 0 0
-:padding: 0
-:gutter: 2
-
-:::{grid-item-card} {material-outlined}`search;2em` Full-text and semantic search
-:link: search-overview
-:link-type: ref
-:link-alt: About CrateDB's search features
-CrateDB enables you to build powerful search experiences for websites,
-applications, and enterprise data.
-+++
-**What's inside:**
-Full-text search, Geo search, Vector search, Hybrid search.
-:::
-
-:::{grid-item-card} {material-outlined}`manage_history;2em` Metrics and telemetry data store
-:link: metrics-store
-:link-type: ref
-:link-alt: Using CrateDB as a long-term metrics store
-Store metrics and telemetry data for the long term, with the benefits of
-using standard database interfaces, SQL query language, and horizontal
-scalability through clustering as you go.
-+++
-**What's inside:**
-Never retire old records to cold storage,
-always have them ready for historical analysis.
-:::
-
-::::
-
-
-
-:::{toctree}
-:hidden:
-Time series data <time-series/index>
-Machine learning <machine-learning/index>
-industrial/index
-analytics/index
-:::

docs/handbook/index.md

@@ -215,35 +215,39 @@ Load data from many sources into CrateDB.
 ::::
 
 
-## Topics and use cases
+## Solutions and topics
 
 ::::{grid} 1 2 2 2
 :gutter: 2
 :padding: 0
 
-:::{grid-item-card} {material-outlined}`numbers;2em` Topics
-:link: topics
+:::{grid-item-card} {material-outlined}`lightbulb;2em` Solutions and use cases
+:link: solutions
 :link-type: ref
-:link-alt: CrateDB topics overview
-Learn how to apply CrateDB's features to optimally cover use-cases
-across different application and topic domains.
-For example, connect CrateDB with third-party
-software applications, libraries, and frameworks.
+:link-alt: Solutions built with CrateDB
+Learn how to use CrateDB for time series use-cases,
+about industry solutions built with CrateDB and
+how others are using CrateDB successfully with
+both standard software components and in
+proprietary system landscapes.
 +++
 **What's inside:**
-Business intelligence, data lineage, data visualization,
-programming frameworks, software testing, time series data.
+Time series data. Industrial big data.
+Real-time raw-data analytics. Machine learning.
 :::
 
-:::{grid-item-card} {material-outlined}`supervised_user_circle;2em` Use cases
-:link: use-cases
+:::{grid-item-card} {material-outlined}`numbers;2em` Categories / Topics
+:link: topics
 :link-type: ref
-:link-alt: Use cases for CrateDB
-Learn about solutions built with CrateDB and
-how others are using CrateDB successfully.
+:link-alt: CrateDB topics overview
+Learn how to apply CrateDB's features to optimally cover
+different application categories and topic domains.
+For example, connect CrateDB with third-party
+software applications, libraries, and frameworks.
 +++
 **What's inside:**
-Industrial big data. Real-time raw-data analytics.
+Business intelligence, data lineage, data migrations, data visualization,
+programming frameworks, software testing.
 :::
 
 ::::
@@ -263,5 +267,6 @@ Industrial big data. Real-time raw-data analytics.
 ../feature/index
 Ingestion <../ingest/index>
 ../topic/index
+Solutions <../solution/index>
 ../integrate/index
 ```

docs/explain/analytics/bitmovin.md renamed to docs/solution/analytics/bitmovin.md

@@ -0,0 +1,135 @@
+(solutions)=
+(use-cases)=
+
+# Solutions and use cases
+
+:::{toctree}
+:hidden:
+time-series/index
+industrial/index
+analytics/index
+machine-learning/index
+:::
+
+
+## Explanations
+
+:::{div} sd-text-muted
+About time series data storage and analytics, and machine learning.
+:::
+
+::::{grid} 1 2 2 2
+:gutter: 2
+:padding: 0
+
+:::{grid-item-card} {material-outlined}`stacked_line_chart;2em` Time series data
+:link: timeseries
+:link-type: ref
+:link-alt: About CrateDB for time series data analysis
+Enhance your understanding how to use CrateDB for time series use-cases,
+and how to apply time series modeling and analysis procedures to your data.
++++
+**What's inside:**
+- Advanced statistical analysis
+- Data visualization
+- Machine learning
+- Scientific computing
+:::
+
+:::{grid-item-card} {material-outlined}`model_training;2em` Machine learning
+:link: machine-learning
+:link-type: ref
+:link-alt: About CrateDB for machine learning applications
+Get an overview about how CrateDB provides support for different kinds of
+machine learning tasks, and learn how to integrate CrateDB with machine
+learning frameworks and tools.
++++
+**What's inside:**
+- Vector store: Vector search, Hybrid search, LangChain
+- Text-to-SQL: LlamaIndex, MCP, MindsDB
+- Time series analysis: R, TensorFlow
+- MLOps and model training: MLflow, PyCaret, scikit-learn
+:::
+
+::::
+
+
+## Use cases
+
+:::{div} sd-text-muted
+About solutions built with CrateDB and
+how others are using CrateDB successfully.
+:::
+
+CrateDB is being developed in an open-source spirit, and closely together
+with its users and customers. Learn about application scenarios where CrateDB
+derives many foundational features from, and how others are using CrateDB to
+build real-time data management and analytics solutions and platforms.
+
+::::{grid} 1 2 2 2
+:margin: 4 4 0 0
+:padding: 0
+:gutter: 2
+
+:::{grid-item-card} {material-outlined}`precision_manufacturing;2em` Industrial big data
+:link: industrial
+:link-type: ref
+:link-alt: Use CrateDB in industrial data platforms
+Learn how others are successfully using CrateDB within industrial,
+engineering, manufacturing, production, and logistics domains.
++++
+**What's inside:**
+About the unique challenges and complexities of industrial big data.
+:::
+
+:::{grid-item-card} {material-outlined}`analytics;2em` Real-time analytics on raw data
+:link: analytics
+:link-type: ref
+:link-alt: About CrateDB's analytics features
+CrateDB provides real-time analytics on raw data.
+Learn how others are successfully running real-time multi-tenant data
+analytics applications on top of billions of records.
++++
+**What's inside:**
+If you absolutely must keep the records, because they are unique,
+downsampling is not an option.
+:::
+
+::::
+
+## See also
+
+:::{div} sd-text-muted
+Other notable features of CrateDB.
+:::
+
+::::{grid} 1 2 2 2
+:margin: 4 4 0 0
+:padding: 0
+:gutter: 2
+
+:::{grid-item-card} {material-outlined}`search;2em` Full-text and semantic search
+:link: search-overview
+:link-type: ref
+:link-alt: About CrateDB's search features
+CrateDB enables you to build powerful search experiences for websites,
+applications, and enterprise data.
++++
+**What's inside:**
+Full-text search, Geo search, Vector search, Hybrid search.
+:::
+
+:::{grid-item-card} {material-outlined}`manage_history;2em` Metrics and telemetry data store
+:link: metrics-store
+:link-type: ref
+:link-alt: Using CrateDB as a long-term metrics store
+Store metrics and telemetry data for the long term, with the benefits of
+using standard database interfaces, SQL query language, and horizontal
+scalability through clustering as you go.
++++
+**What's inside:**
+Never retire old records to cold storage,
+always have them ready for historical analysis.
+:::
+
+::::

docs/explain/analytics/index.md renamed to docs/solution/analytics/index.md

@@ -2,7 +2,7 @@
 (iiot)=
 (industrial)=
 (industry-40)=
-# Industrial data
+# Industrial big data
 
 :::{div} sd-text-muted
 Industry 4.0, but cost-effective: CrateDB is all you need.