updates to README - fixed broken links

README.md

@@ -2,7 +2,8 @@
 
 # Tuva
 
-Check out the latest [DAG](https://tuva-health.github.io/tuva/#!/overview?g_v=1).
+Check out the Tuva [DAG](https://tuva-health.github.io/tuva/#!/overview?g_v=1).
+View the Tuva [Data Models](https://docs.google.com/spreadsheets/d/1X69EX9L27oSlopV18oLk86QCJG_-Q4XqP8xvzlIAE84/edit?usp=sharing)
 
 Tuva cleans and transforms your messy healthcare data.  It does 3 things:
 
@@ -22,12 +23,11 @@ Execute the following steps to load all seed files, build all data marts, and ru
 1. [Clone](https://docs.github.com/en/repositories/creating-and-managing-repositories/cloning-a-repository) this repo to your local machine
 2. Create a database called 'tuva' in your data warehouse
     - note: this is where data from the project will be generated
-    - note: if you would like data to be created in a different database you can edit this in the dbt_project.yml file
 3. Create source data tables in your data warehouse
-    - note: these tables should match the columns and data types in the tables in [source_data](models/source_data.yml)
+    - note: these tables must match table names and column names exactly as in [source.yml](models/source.yml)
 4. Configure [dbt_project.yml](/dbt_project.yml)
     - profile: set to 'tuva' by default - change this to an active profile in the profile.yml file that connects to your data warehouse
-    - vars: configure source database name, schema name, and table names (i.e. point to the tables you created in step 3)
+    - vars: configure source_name, source database name, and source schema name
 5. Run project
     1. Navigate to the project directory in the command line
     2. Execute "dbt build" to create all tables/views in your data warehouse