feathr
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feathr-ai
Feathr – A scalable, unified data and AI engineering platform for enterprise
The existing one(https://github.com/linkedin/feathr/blob/main/docs/images/architecture.png) focus on Azure architecture so it may be quite overwhelming. Let's create a simplified version that describe ML e2e so new users can understand.
Currently CI will be triggered by both `pull_request` and `pull_request_target`, the result is causing confusion to new contributors. Ideally, CI should only be fired once for either `pull_request` for same...
Signed-off-by: Chang Yong Lik ## Description - Added dataSourceDetail component Resolves https://github.com/linkedin/feathr/issues/241 ## How was this patch tested? N/A ## Does this PR introduce any user-facing changes? Allows users to...
In all the Jupyter notebook samples, there's a line: client = FeathrClient(config_path=tmp.name) However, if the users have configured credential in the previous line, like this: credential = DefaultAzureCredential(exclude_interactive_browser_credential=False) this `credential`...
For offline stores, S3/ADLS/WASB/JDBC/Snowflake, if any of its 'enabled' config variables are set to 'false' or undefined their other related environment variables will not be visited.
There are many hard coded cloud resources in get started notebooks, examples: - feathrazuretest3redis.redis.cache.windows.net - https://feathr-sql-registry.azurewebsites.net/api/v1 - https://feathrazuretest3synapse.dev.azuresynapse.net - and so forth These should get removed from notebooks to ensure...
- [ ] Docs on AML integration - [ ] Docs on use Databricks outside of the databricks cluster
After running the CI pipeline, in some test cases, the job will be materialized to Redis with weird keys with names similar to a date (like 978 and 980 below):...
Currently Feathr only supports getting a single type of keys thru `client.get_online_features` or `client.multi_get_online_features`. Essentially they are just sending the HMGET commands to Redis, say for "product_id". Per this discussion...