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<!channel> *Happy Friday, DataHub Community!* :datahubbbb::tada: 

*<https://github.com/datahub-project/datahub/releases/tag/v0.8.41|DataHub v0.8.41>* is LIVE &amp; ready for ya! :excited: Here’s what you’ll find

*User Experience*
• Improvements in CSV connector for easier ingestion - description, ownership, domain support added
• Managed Ingestion is getting a new look! Starting with Snowflake, you can configure your ingestion with an easy-to-use form or YAML - your choice! Support for other sources coming soon.
*Developer Experience*
• Ability to stop Quickstart instead of nuking &amp; customizing mapped ports
• New models for dashboard usage
• Circuit breaker and python api for Assertion and Operation
*Metadata Ingestion*
• Improvements in BigQuery connector to only profile some tables
• Intermittent 401 errors during ingestion fixed
• New Salesforce connector
_*Note:* there are a couple of breaking changes with this release - read about them <https://datahubproject.io/docs/how/updating-datahub/|here>!_

:catyay: *Let’s hear it for our first time contributors* :whoop:
<@U036Y7A3ZEC> <https://github.com/dougpm|@dougpm> <@U03CHMBGY56> <@U02CKQ91QTH> <@U039S21N1PS>

*Much love to our returning contributors* :thanks_ewe: :teamwork: 
<https://github.com/abiwill|@abiwill> <@U02DZ51RCK0> <@U02V30TBP0W> <@U027B7R23J4> <@U03BEML16LB> <@U03GWPR6FSS> <@U01JUBAPZPS> <@U01GZEETMEZ> <@U01GCJKA8P9>  <@U02471XRNPL> <https://github.com/liyuhui666|@liyuhui666> <@U0121TRV0FL> <@U02G4B6ADL6> <@U02HE6R3F5L> <https://github.com/neojunjie|@neojunjie> <https://github.com/ngamanda|@ngamanda> <@U01L2QD243Z> <@U027ZS25RFS> <@UV0M2EB8Q> <@UV14447EU>

Thanks all the Acryldata folks! :pray: The demo looks a blast! :rocket: When are the docker images going to be available? At least, the <https://hub.docker.com/r/acryldata/datahub-frontend-react/tags|frontend-react>, <https://hub.docker.com/r/acryldata/datahub-gms/tags|gms>, <https://hub.docker.com/r/acryldata/datahub-mae-consumer/tags|mae>, <https://hub.docker.com/r/acryldata/datahub-mce-consumer/tags|mce> and <https://hub.docker.com/r/acryldata/datahub-elasticsearch-setup/tags|elasticsearch-setup> images haven’t been upgraded since version 0.8.34.1 (even the <https://hub.docker.com/r/acryldata/datahub-elasticsearch-setup/tags|ingestion> image is not exactly 0.8.41). Or should I follow the <https://hub.docker.com/search?context=explore&amp;q=linkedin%2Fdatahub-|linkedin images>?? (pardon my noobie question :nerd_face:)

Please see <https://github.com/acryldata/datahub-helm/blob/master/charts/datahub/values.yaml> to decide on which images to use. Search for `repository`

<@U03DHGZ5CLE> Use the linkedin images, that is the account to which we are publishing docker images

wow thanks team! <@U03BEML16LB> is the release also containing the changes discussed <https://datahubspace.slack.com/archives/C029A3M079U/p1656701129228199?thread_ts=1656674500.920249&amp;cid=C029A3M079U|here>?

<@U02LNBFDUP7> I believe that is the case!

Hi, updates look great!

Where can we learn more about: "Improvements in BigQuery connector to only profile some tables"

<@U02KN8FME3Z> <https://github.com/datahub-project/datahub/commit/5216d72f916eb90a2a4d81cf1d257ec305286bf2>

you check the bigquery docs for the new `profile_if_updated_since_days`,  `profile_table_size_limit` and `profile_table_row_limit` settings

Awesome, thanks for sharing

The description for `profile_if_updated_since_days` is confusing me just slightly. Is this basically saying, "only run profiling on this dataset if its been updated in the last X days?"

Meaning if I have a dataset that has rows appended daily, profiling would run no matter which value I set for that config?