Feature request: az context to access data in Azure blob storage

[raybellwaves]

Is your feature request related to a problem? Please describe.
No

Describe the solution you'd like
bc.az('blazingsql-colab', blob_name='blazingsql-colab')

Note: could also be named bc.abfs() but we are discussing using az for the fsspec here fsspec/adlfs#78

Describe alternatives you've considered
Not tested: some work around of reading the data in as a dask.dataframe using aldfs -> cudf -> BlazingContext

Additional context
For better or worse we are a Microsoft shop at the company I work for. I would like to use Blazing SQL to potentially speed up a spark ETL

----For BlazingSQL Developers----
How and where should this be implemented?
What part of the code should be feature be implemented? What should the APIs and/or classes look like?

**Other design considerations **
What components of the engine could be affected by this? What functions should we make sure we use/reuse?

Testing considerations?
What sort of unit tests and/or End to End tests be implemented to test this?

[wmalpica]

Hello @raybellwaves , thank you for filing this issue. This is the future we actually already had in our roadmap and we plan on implementing it in our next release.

[raybellwaves]

Awesome. Sounds good. az just got implemented in fsspec https://github.com/intake/filesystem_spec/blob/master/fsspec/registry.py#L141
When the new version of fsspec is released we'll work on fsspec/adlfs#91

[raybellwaves]

FYI az just landed in the latest adlfs