Integrate: Split "Analyze" section into BI vs. ML

docs/conf.py

@@ -9,9 +9,11 @@
 
 # TODO: Refactor into global configuration.
 linkcheck_ignore = [
-    "https://portal.azure.com/",
     "https://azuremarketplace.microsoft.com/",
     "https://github.com/crate/ml-sandbox",
+    "https://portal.azure.com/",
+    "https://powerbi.microsoft.com",
+    "https://www.microsoft.com",
 ]
 
 linkcheck_timeout = 5

docs/index.md

@@ -63,7 +63,7 @@ CrateDB integrates well with a diverse set of applications and tools concerned
 with analytics, visualization, and data wrangling, in the areas of ETL, BI, 
 metrics aggregation and monitoring, and more.
 
-::::{grid} 1 2 2 4
+::::{grid} 1 2 2 3
 :margin: 4 4 0 0
 :gutter: 1
 
@@ -84,15 +84,23 @@ Use ETL applications and frameworks for transferring data in and out of CrateDB.
 :::
 
 
-:::{grid-item-card} {material-outlined}`analytics;2em` Analytics
-:link: analyze
+:::{grid-item-card} {material-outlined}`analytics;2em` Business Intelligence
+:link: bi
 :link-type: ref
 
 Analyze information in your CrateDB cluster.
 :::
 
 
-:::{grid-item-card} {material-outlined}`bar_chart;2em` Visualization
+:::{grid-item-card} {material-outlined}`analytics;2em` Machine Learning
+:link: ml
+:link-type: ref
+
+Apply machine learning to information in your CrateDB cluster.
+:::
+
+
+:::{grid-item-card} {material-outlined}`bar_chart;2em` Data Visualization
 :link: visualize
 :link-type: ref
 
@@ -129,9 +137,10 @@ Database drivers <connect/index>
 ```{toctree}
 :hidden:
 
-Load and export data <integrate/etl>
-Analyze data <integrate/analyze>
-Visualize data <integrate/visualize>
+Load and Export <integrate/etl>
+Business Intelligence <integrate/bi>
+Machine Learning <integrate/ml>
+Data Visualization <integrate/visualize>
 ```
 
 ```{toctree}

docs/integrate/analyze.md → docs/integrate/bi.md

@@ -1,12 +1,12 @@
+(bi)=
 (bi-tools)=
-(analyze)=
-# Analytics with CrateDB
+# Business Analytics and Intelligence with CrateDB
 
-This documentation section enumerates analytics applications and frameworks,
-which can be used for analyzing data in CrateDB.
+This documentation section lists business analytics applications
+and frameworks, which can be used together with CrateDB.
 
 
-## Business analytics with Microsoft Power BI
+## Microsoft Power BI
 
 ```{div}
 :style: "float: right"
@@ -34,7 +34,7 @@ possible to publish your dashboards, in order to share them with others.
 ```
 
 
-## Business intelligence with Tableau
+## Tableau
 
 ```{div}
 :style: "float: right"
@@ -54,51 +54,12 @@ guide you through the process of setting it up correctly with CrateDB.
 ```
 
 
-## Data analysis with pandas and scikit-learn 
-
-```{div}
-:style: "float: right"
-[![](https://pandas.pydata.org/static/img/pandas.svg){w=180px}](https://pandas.pydata.org/)
-<br>
-[![](https://upload.wikimedia.org/wikipedia/commons/thumb/0/05/Scikit_learn_logo_small.svg/240px-Scikit_learn_logo_small.svg.png){w=180px}](https://scikit-learn.org/)
-<br>
-[![](https://jupyter.org/assets/logos/rectanglelogo-greytext-orangebody-greymoons.svg){w=180px}](https://jupyter.org/)
-```
-
-
-Using [pandas] and [scikit-learn] to run a regression analysis within a [Jupyter Notebook].
-
-- [Machine Learning and CrateDB: An introduction]
-- [Machine Learning and CrateDB: Getting Started With Jupyter]
-- [Machine Learning and CrateDB: Experiment Design & Linear Regression]
-
-More resources:
-
-- [Automating financial data collection and storage in CrateDB with Python and pandas 2.0.0]
-- [From data storage to data analysis: Tutorial on CrateDB and pandas]
-
-
-## Machine Learning and CrateDB
-
-- Using pandas, NumPy, Matplotlib, Merlion, and MLFlow, to analyze timeseries anomalies:
-  [Running Time Series Models in Production using CrateDB]
-
-
-[Automating financial data collection and storage in CrateDB with Python and pandas 2.0.0]: https://community.crate.io/t/automating-financial-data-collection-and-storage-in-cratedb-with-python-and-pandas-2-0-0/916
 [Connecting to CrateDB from Tableau with JDBC]: https://crate.io/blog/connecting-to-cratedb-from-tableau-with-jdbc
 [CrateDB and Tableau]: https://crate.io/integrations/cratedb-and-tableau
 [CrateDB and Power BI]: https://crate.io/integrations/cratedb-and-power-bi
-[From data storage to data analysis: Tutorial on CrateDB and pandas]: https://community.crate.io/t/from-data-storage-to-data-analysis-tutorial-on-cratedb-and-pandas/1440/1
-[Jupyter Notebook]: https://jupyter.org/
-[Machine Learning and CrateDB: An introduction]: https://crate.io/blog/machine-learning-and-cratedb-part-one
-[Machine Learning and CrateDB: Getting Started With Jupyter]: https://crate.io/blog/machine-learning-cratedb-jupyter
-[Machine Learning and CrateDB: Experiment Design & Linear Regression]: https://crate.io/blog/machine-learning-and-cratedb-part-three-experiment-design-and-linear-regression
-[pandas]: https://pandas.pydata.org/
 [PostgreSQL ODBC driver]: https://odbc.postgresql.org/
 [Power BI Desktop]: https://powerbi.microsoft.com/en-us/desktop/
 [Power BI Service]: https://powerbi.microsoft.com/en-us/
 [Power Query PostgreSQL connector]: https://learn.microsoft.com/en-us/power-query/connectors/postgresql
-[Running Time Series Models in Production using CrateDB]: https://github.com/crate/ml-sandbox/blob/main/timeseries-blog/timeseries-blog.md
-[scikit-learn]: https://scikit-learn.org/
 [Tableau]: https://www.tableau.com/
 [Using CrateDB with Tableau]: https://community.crate.io/t/using-cratedb-with-tableau/1192

docs/integrate/ml.md

@@ -0,0 +1,47 @@
+(ml)=
+(ml-tools)=
+# Machine Learning with CrateDB
+
+This documentation section lists machine learning applications and frameworks,
+which can be used together with CrateDB.
+
+
+## Data analysis with pandas and scikit-learn 
+
+```{div}
+:style: "float: right"
+[![](https://pandas.pydata.org/static/img/pandas.svg){w=180px}](https://pandas.pydata.org/)
+<br>
+[![](https://upload.wikimedia.org/wikipedia/commons/thumb/0/05/Scikit_learn_logo_small.svg/240px-Scikit_learn_logo_small.svg.png){w=180px}](https://scikit-learn.org/)
+<br>
+[![](https://jupyter.org/assets/logos/rectanglelogo-greytext-orangebody-greymoons.svg){w=180px}](https://jupyter.org/)
+```
+
+
+Using [pandas] and [scikit-learn] to run a regression analysis within a [Jupyter Notebook].
+
+- [Machine Learning and CrateDB: An introduction]
+- [Machine Learning and CrateDB: Getting Started With Jupyter]
+- [Machine Learning and CrateDB: Experiment Design & Linear Regression]
+
+More resources:
+
+- [Automating financial data collection and storage in CrateDB with Python and pandas 2.0.0]
+- [From data storage to data analysis: Tutorial on CrateDB and pandas]
+
+
+## Machine Learning and CrateDB
+
+- Using pandas, NumPy, Matplotlib, Merlion, and MLFlow, to analyze timeseries anomalies:
+  [Running Time Series Models in Production using CrateDB]
+
+
+[Automating financial data collection and storage in CrateDB with Python and pandas 2.0.0]: https://community.crate.io/t/automating-financial-data-collection-and-storage-in-cratedb-with-python-and-pandas-2-0-0/916
+[From data storage to data analysis: Tutorial on CrateDB and pandas]: https://community.crate.io/t/from-data-storage-to-data-analysis-tutorial-on-cratedb-and-pandas/1440/1
+[Jupyter Notebook]: https://jupyter.org/
+[Machine Learning and CrateDB: An introduction]: https://crate.io/blog/machine-learning-and-cratedb-part-one
+[Machine Learning and CrateDB: Getting Started With Jupyter]: https://crate.io/blog/machine-learning-cratedb-jupyter
+[Machine Learning and CrateDB: Experiment Design & Linear Regression]: https://crate.io/blog/machine-learning-and-cratedb-part-three-experiment-design-and-linear-regression
+[pandas]: https://pandas.pydata.org/
+[Running Time Series Models in Production using CrateDB]: https://github.com/crate/ml-sandbox/blob/main/timeseries-blog/timeseries-blog.md
+[scikit-learn]: https://scikit-learn.org/

docs/integrate/visualize.md

@@ -63,7 +63,7 @@ based on Apache Superset.
 
 ```{div}
 :style: "float: right"
-[![](https://www.cluvio.com/images/logos/cluvio/cluvio-logo-full_color-on_dark.svg){w=180px}](https://www.cluvio.com/)
+[![cluvio-logo-full_color-on_dark.svg](https://github.com/crate/crate-clients-tools/assets/453543/cac142ef-412a-4a67-a63f-bf9d1ce92c84){w=180px}](https://www.cluvio.com/)
 ```
 
 [Cluvio] is a programmable and interactive dashboarding platform — your analytics
@@ -78,8 +78,8 @@ your entire company in few minutes.
 
 - [Data Analysis with Cluvio and CrateDB]
 
-![](https://www.cluvio.com/images/features/custom-filters.png){h=200px}
-![](https://www.cluvio.com/images/features/report-creator.png){h=200px}
+![custom-filters.png](https://github.com/crate/crate-clients-tools/assets/453543/49ca6a35-239e-4915-951c-db6649fd35a4){h=200px}
+![report-creator.png](https://github.com/crate/crate-clients-tools/assets/453543/844a5ffd-0b92-4c77-8cdd-0b5cc5b392b1){h=200px}
 
 
 ## Explo Explore