Merge pull request #12 from adchia/main

Add link to book recsys example

Author: adchia

.gitignore

@@ -10,4 +10,5 @@ terraform.tfstate.backup
 **/airflow_demo/airflow_home/*
 .vscode/*
 **/derby.log
-**/metastore_db/*
+**/metastore_db/*
+.env

README.md

@@ -52,10 +52,11 @@ Since we'll be learning how to leverage Feast in CI/CD, you'll also need to fork
 
 These are meant mostly to be done in order, with examples building on previous concepts.
 
-| Time (min) | Description                                                                      | Module                          |
-| :--------: | :------------------------------------------------------------------------------- | :--------------------------------------------- |
-|   30-45    | Setting up Feast projects & CI/CD + powering batch predictions                   | [Module 0](module_0/README.md)                 |
-|   15-20    | Streaming ingestion & online feature retrieval with Kafka, Spark, Airflow, Redis | [Module 1](module_1/README.md)                 |
-|   10-15    | Real-time feature engineering with on demand transformations                     | [Module 2](module_2/README.md)                 |
-|     30     | Orchestrated batch/stream transformations using dbt + Airflow with Feast         | [Module 3 (Snowflake)](module_3_sf/README.md)  |
-|     30     | (WIP) Orchestrated batch/stream transformations using dbt + Airflow with Feast   | [Module 3 (Databricks)](module_3_db/README.md) |
+| Time (min) | Description                                                                      | Module                                                                                  |
+| :--------: | :------------------------------------------------------------------------------- | :----------------------------------------------------------------------------------------------------- |
+|   30-45    | Setting up Feast projects & CI/CD + powering batch predictions                   | [Module 0](module_0/README.md)                                                                         |
+|   15-20    | Streaming ingestion & online feature retrieval with Kafka, Spark, Airflow, Redis | [Module 1](module_1/README.md)                                                                         |
+|   10-15    | Real-time feature engineering with on demand transformations                     | [Module 2](module_2/README.md)                                                                         |
+|     30     | Orchestrated batch/stream transformations using dbt + Airflow with Feast         | [Module 3 (Snowflake)](module_3_sf/README.md)                                                          |
+|     30     | (WIP) Orchestrated batch/stream transformations using dbt + Airflow with Feast   | [Module 3 (Databricks)](module_3_db/README.md)                                                         |
+|     30     | Book recommender system with dbt + Airflow + Feast                               | [Workshop on Databricks](https://github.com/tecton-ai/book-recsys-apply-workshop/tree/main/feast_repo) |