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Update docs/modules/demos/pages/jupyterhub-pyspark-hdfs-anomaly-detection-taxi-data.adoc
Co-authored-by: Nick <[email protected]>
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docs/modules/demos/pages/jupyterhub-pyspark-hdfs-anomaly-detection-taxi-data.adoc

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== Aim / Context
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This demo uses stackable operators to deploy a Spark Connect server and a HDFS cluster.
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This demo uses stackable operators to deploy a Spark Connect server and an HDFS cluster.
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The intention is to demonstrate how clients, in this case a JupyterLab notebook, can interact with SDP components.
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The notebook creates a SparkSession, that delegates the data analysis and model training to a Spark Connect service thus offloading resources into the Kubernetes cluster.
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The notebook can thus be used as a sandbox for writing, testing and benchmarking Spark jobs before they are moved into production.

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