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:
Support Presto and Hive on Cloud platforms that support Hive/Presto; see QDS Components: Supported Versions and Cloud Platforms.
Hive notebooks are in the beta phase. As there may be potential security concerns to use it in production, you can experiment a Hive notebook and cannot use it for a production usage. Qubole plans to deprecate Hive notebooks in the near future.
Are implemented on Hadoop clusters, providing greater compute power than a single machine, and facilitating collaboration among QDS users
Support a range of interpreters
Provide visualization support, including support for interactive visualizations
Currently, Jupyter notebooks are supported only on Spark 2.2 and later versions.
JupyterLab interface is a Beta feature, and is not enabled for all users by default. Contact your account executive or customer success manager to enable this feature in your account.