~/talk

Notebook showdown: Jupyterhub vs. apache zeppelin

Talkat DevConf.CZ 2020 · 2020-01-24..01-26· [data-science]

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.

AI-written summary · about

  1. 0:00Introduction and Speaker
  2. 2:09JupyterHub overview and demo
  3. 10:45Apache Zeppelin overview
  4. 18:55Comparing notebook features
  5. 24:01Choosing the right tool
  6. 29:27Open Data Hub integration
  7. 31:26Q&A session
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