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We should have something bare-bones on rtd, explaining the basic philosophy and design:
Minimal amount of code that works
Speed advantage by catering directly to pyarrow dataset API
"Bring your own DatalakeServiceClient", if you can create it, we can use it -- which means we support all authentication that azure-storage-filedatalake supports
Then we could have some examples for common things like reading hive partitioned datasets, "arrow advantages" like self_destruct, strings_to_categorical etc.
The text was updated successfully, but these errors were encountered:
We should have something bare-bones on rtd, explaining the basic philosophy and design:
DatalakeServiceClient
", if you can create it, we can use it -- which means we support all authentication thatazure-storage-filedatalake
supportsThen we could have some examples for common things like reading hive partitioned datasets, "arrow advantages" like
self_destruct
,strings_to_categorical
etc.The text was updated successfully, but these errors were encountered: