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Visualize: Add more links to resources about Apache Superset #63

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Feb 6, 2024
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Visualize: Add more links to resources about Apache Superset #63

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21 changes: 15 additions & 6 deletions docs/integrate/visualize.md
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Expand Up @@ -23,10 +23,16 @@ platform, written in Python.
[Preset] offers a managed, elevated, and enterprise-grade SaaS for open-source
Apache Superset.

- [Introduction to time series visualization in CrateDB and Apache Superset (blog)]
- [Introduction to time series visualization in CrateDB and Apache Superset (webinar)]
- [Use CrateDB and Apache Superset for Open Source Data Warehousing and Visualization]
**Product:**
- [Introduction to time series visualization in CrateDB and Apache Superset (Blog)]
- [Use CrateDB and Apache Superset for Open Source Data Warehousing and Visualization (Blog)]
- [Introduction to time series visualization in CrateDB and Apache Superset (Webinar)]
- [Introduction to Time-Series Visualization in CrateDB and Apache Superset (Preset.io)]

**Development:**
- [Set up Apache Superset with CrateDB]
- [Set up an Apache Superset development sandbox with CrateDB]
- [Verify Apache Superset with CrateDB]

![](https://superset.apache.org/img/hero-screenshot.jpg){h=200px}
![](https://github.com/crate/crate-clients-tools/assets/453543/0f8f7bd8-2e30-4aca-bcf3-61fbc81da855){h=200px}
Expand Down Expand Up @@ -376,8 +382,9 @@ Based on Plotly, [Dash] is a low-code framework for rapidly building data apps i
[HoloViz]: https://holoviz.org/
[hvPlot]: https://hvplot.holoviz.org/
[Introduction to Time Series Visualization in CrateDB and Explo]: https://crate.io/blog/introduction-to-time-series-visualization-in-cratedb-and-explo
[Introduction to time series visualization in CrateDB and Apache Superset (blog)]: https://community.crate.io/t/introduction-to-time-series-visualization-in-cratedb-and-superset/1041
[Introduction to time series visualization in CrateDB and Apache Superset (webinar)]: https://cratedb.com/resources/webinars/lp-wb-introduction-to-time-series-visualization-in-cratedb-apache-superset
[Introduction to time series visualization in CrateDB and Apache Superset (Blog)]: https://community.crate.io/t/introduction-to-time-series-visualization-in-cratedb-and-superset/1041
[Introduction to time series visualization in CrateDB and Apache Superset (Webinar)]: https://cratedb.com/resources/webinars/lp-wb-introduction-to-time-series-visualization-in-cratedb-apache-superset
[Introduction to Time-Series Visualization in CrateDB and Apache Superset (Preset.io)]: https://preset.io/blog/timeseries-cratedb-superset/
[Metabase]: https://www.metabase.com/
[Metabase Cloud]: https://www.metabase.com/cloud/
[Panel]: https://panel.holoviz.org/
Expand All @@ -386,8 +393,10 @@ Based on Plotly, [Dash] is a low-code framework for rapidly building data apps i
[Preset Cloud]: https://preset.io/product/
[PyViz]: https://pyviz.org/
[Real-time data analytics with Metabase and CrateDB]: https://www.metabase.com/community_posts/real-time-data-analytics-with-metabase-and-cratedb
[Set up Apache Superset with CrateDB]: https://community.cratedb.com/t/set-up-apache-superset-with-cratedb/1716
[Set up an Apache Superset development sandbox with CrateDB]: https://community.crate.io/t/set-up-an-apache-superset-development-sandbox-with-cratedb/1163
[Time Series with CrateDB]: https://github.com/crate/cratedb-examples/tree/main/topic/timeseries/explore
[Use CrateDB and Apache Superset for Open Source Data Warehousing and Visualization]: https://crate.io/blog/use-cratedb-and-apache-superset-for-open-source-data-warehousing-and-visualization
[Use CrateDB and Apache Superset for Open Source Data Warehousing and Visualization (Blog)]: https://crate.io/blog/use-cratedb-and-apache-superset-for-open-source-data-warehousing-and-visualization
[Using Grafana with CrateDB Cloud]: #integrations-grafana
[Using Metabase with CrateDB Cloud]: #integrations-metabase
[Verify Apache Superset with CrateDB]: https://github.com/crate/cratedb-examples/tree/main/framework/apache-superset
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