Notebooks

Notebooks are becoming increasingly popular among data scientists, who often use them for quick exploration tasks. Once set up, a notebook provides a convenient way to save, share, and re-run a set of queries on a data source– for example to track changes in the underlying data over time, or to provide different views using different parameters.

Qubole provides notebook user interfaces based on Zeppelin and Jupyter for Zeppelin notebooks and Jupyter notebooks, respectively.

Zeppelin notebooks on Qubole are based on the Apache Zeppelin implementation and provide the following advantages:

Currently, Jupyter notebooks are supported only on Spark 2.2 and later versions.