data-catalog

Currently we only support db store publisher (e.g neo4j, mysql,neptune). But it would be pretty easy to support message queue publisher using the interface (e.g SQS, kinesis, Eventhub, kafka) which allows push ETL model support.

There is a pr (amundsen-io/amundsendatabuilder#431) which unfortunately isn't get merged. The pr could be used as an example on how to support t

Let's understand why / fix the org.flywaydb:flyway-core dependency bump to v7.x.x

@cantzakas created the SQL query necessary to pull metadata in (hyperqueryhq/whale#140) -- we just have to make the greenplum extractor scaffolding. This should just follow the exact same shape as the Postgres extractor.

It is not surprising that deep and shallow scan show different results. Shallow scan only looks at column names. Deep scan looks at a sample of the data. I've even noticed that two different runs of deep scan show different results as sample rows are different. This is the challenge with not scanning all of the data. Its a trade-off between performance/cost and accuracy. There is no right answer.

Add more logging in all modules to emit debug signals for improved logging.

Latest run: https://www.figma.com/file/yiL1CRyHsOEeY45NesWdiC/Provectus?node-id=1485%3A24672
Params: https://www.figma.com/file/yiL1CRyHsOEeY45NesWdiC/Provectus?node-id=1485%3A24682

Intake-esm adds the attribute intake_esm_varname to datasets, and I have encountered cases where that ends up being None (still looking for the exact model).

Zarr does not like that type of metadata:

import xarray as xr
ds_test = xr.DataArray(5).to_dataset(name='test')
ds_test.attrs['test'] = None

ds_test.to_zarr('test.zarr')

gives

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What would you like to be added:
It would be great to add support for a datacatalog-connectors-bi for Sisense.

Why is this needed:
Sisense is a popular BI solution, named as a visionary in the Gartner quadrant

• pattern= catalog : dataset name : url : comment

• ocean: World Ocean Atlas: https://www.nodc.noaa.gov/OC5/woa18/ : different versions and variables via parameter #15

• global carbon budget with https://github.com/edjdavid/intake-excel #22

• land: precipitation: https://psl.noaa.gov/data/gridded/tables/precipitation.html:

• Mauna Loa CO2 netcdf ftp://aftp.cmdl.noaa.go