update links to Feast docs

adchia · adchia · commit 9d6c213245a9 · 2022-10-19T14:52:20.000-04:00
Signed-off-by: Danny Chiao &lt;danny@tecton.ai&gt;
diff --git a/module_3/README.md b/module_3/README.md
@@ -238,4 +238,4 @@ Several things change:
 - Production deployment of Airflow (e.g. syncing with a Git repository of DAGs, using k8s)
 - Bundling dbt models with Airflow (e.g. via S3 like this [MWAA + dbt guide](https://docs.aws.amazon.com/mwaa/latest/userguide/samples-dbt.html))
 - Airflow DAG parallelizes across feature views (instead of running a single `feature_store.materialize` across all feature views)
-- Feast materialization is configured to be more scalable (e.g. using other Feast batch materialization engines [Bytewax](https://docs.feast.dev/reference/batch-materialization/bytewax), [Snowflake](https://docs.feast.dev/reference/batch-materialization/snowflake), [Lambda](https://rtd.feast.dev/en/master/index.html?highlight=LambdaMaterializationEngine#feast.infra.materialization.aws_lambda.lambda_engine.LambdaMaterializationEngine), [Spark](https://github.com/feast-dev/feast/blob/master/sdk/python/feast/infra/materialization/contrib/spark/spark_materialization_engine.py))
+- Feast materialization is configured to be more scalable (e.g. using other Feast batch materialization engines [Bytewax](https://docs.feast.dev/reference/batch-materialization/bytewax), [Snowflake](https://docs.feast.dev/reference/batch-materialization/snowflake), [Lambda](https://docs.feast.dev/reference/batch-materialization/lambda), [Spark](https://docs.feast.dev/reference/batch-materialization/spark))
