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Jul 22, 2025
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feat: link picture to rendered GH notebook (#279) #280

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3 changes: 2 additions & 1 deletion docs/modules/demos/pages/jupyterhub-pyspark-hdfs-anomaly-detection-taxi-data.adoc
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Expand Up @@ -12,6 +12,7 @@
:jupyter: https://jupyter.org
:spark-connect: https://spark.apache.org/docs/latest/spark-connect-overview.html
:spark-connect-client: https://github.com/stackabletech/docker-images/blob/main/spark-connect-client/Dockerfile
:repo-url: https://github.com/stackabletech/demos

This demo showcases the integration between {jupyterlab}[JupyterLab], {spark-connect}[Spark Connect] and {hadoop}[Apache Hadoop] deployed on the Stackable Data Platform (SDP) Kubernetes cluster.
The SDP makes this integration easy by publishing a discovery ConfigMap for the HDFS cluster and a Spark Connect service.
Expand Down Expand Up @@ -115,7 +116,7 @@ image::jupyterhub-pyspark-hdfs-anomaly-detection-taxi-data/jupyterlab_login.png[
Log in with token `adminadmin`.
You should arrive at your workspace:

image::jupyterhub-pyspark-hdfs-anomaly-detection-taxi-data/jupyterlab_workspace.png[]
image::jupyterhub-pyspark-hdfs-anomaly-detection-taxi-data/jupyterlab_workspace.png[link={repo-url}/blob/{page-origin-refname}/stacks/jupyterhub-pyspark-hdfs/notebook.ipynb,linktarget=_blank,alt="JupyterLab Notebook"]

Now you can double-click on the `notebook` folder on the left, open and run the contained file.
Click on the double arrow (⏩️) to execute the Python scripts (click on the image above to go to the notebook file).
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