Notebook showdown: Jupyterhub vs. apache zeppelin
summary
Live demos compare JupyterHub and Apache Zeppelin using PySpark + S3 demo, showing CSV load, pandas framing and struggling with types in Jupyter versus Zeppelin auto-detecting numeric types for charts. Zeppelin runs language-specific SQL paragraphs with interactive visualizations and configures interpreters (Spark, Cassandra) centrally; paragraphs export as HTML and Spark jobs appear in a dashboard. Notebooks are not interchangeable between platforms, variable sharing across Python/R requires manual injection, and Zeppelin images/operators for Open Data Hub are in progress.
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chapters (7)
- 0:00Introduction and Speaker
- 2:09JupyterHub overview and demo
- 10:45Apache Zeppelin overview
- 18:55Comparing notebook features
- 24:01Choosing the right tool
- 29:27Open Data Hub integration
- 31:26Q&A session
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