Adding data generation pod to jupyter notebooks deployment

[sergioferragut]

Description

• Added datagen container to docker_compose
• Added an introduction notebook that teaches users how to generate data into files or streams
• Adjusted the existing streaming notebook to use the datagen service to populate the topic
• Removed unnecessary python modules from jupyter notebooks

Release note

Jupyter Labs quick start now contains a data generator to create batch or streaming data on demand.

This PR has:

• been self-reviewed.
• using the concurrency checklist (Remove this item if the PR doesn't have any relation to concurrency.)
• added documentation for new or modified features or behaviors.
• a release note entry in the PR description.
• added Javadocs for most classes and all non-trivial methods. Linked related entities via Javadoc links.
• added or updated version, license, or notice information in licenses.yaml
• added comments explaining the "why" and the intent of the code wherever would not be obvious for an unfamiliar reader.
• added unit tests or modified existing tests to cover new code paths, ensuring the threshold for code coverage is met.
• added integration tests.
• been tested in a test Druid cluster.

[techdocsmith]

Haven't tested this in Docker Compose / Jupyter yet. Biggest question is making the build available to folks who don't want to pull from a 3rd party.

[vtlim]

The changes in the PR may warrant an update to Dockerfile. We could at least remove this comment:

druid/examples/quickstart/jupyter-notebooks/Dockerfile

Lines 51 to 53 in 62ddeaf

	# WIP -- install DruidDataDriver as a package
	# Import data generator and configuration file
	# Change permissions to allow import (requires sudo privileges)

Does this need to change too?

druid/examples/quickstart/jupyter-notebooks/Dockerfile

Lines 64 to 65 in 62ddeaf

	# Add location of the data generator to PYTHONPATH
	ENV PYTHONPATH "${PYTHONPATH}:/home/jovyan/notebooks/02-ingestion"

[vtlim]

Left a review on the new notebook. I can't get it to work locally yet.

[vtlim]

The notebooks work great 👍 Left some nits on content. The only major thing is to update the Prerequisites for the Kafka notebook on using the data generator and providing guidance on how to run the notebook if you didn't use Docker.

[vtlim]

Approved after a few remaining nits. Really nice work!