chore(#1512): use lower case dbt (#1515)

content/en/apps/guides/data/analytics/setup.md

@@ -22,36 +22,36 @@ The first time you run the commands from any of the sections below it will need
 {{% /alert %}}
 
 ### Run all CHT Sync services locally
-This setup involves starting couch2pg, PostgreSQL, pgAdmin, DBT, and CouchDB.
+This setup involves starting couch2pg, PostgreSQL, pgAdmin, dbt, and CouchDB.
 
 Run the Docker containers and wait for every container to be up and running:
 ```sh
 docker-compose -f docker-compose.couchdb.yml -f docker-compose.postgres.yml -f docker-compose.yml up -d
 ```
 
-You can verify this command worked by running `docker ps`. It should show 5 containers running including couch2pg, DBT, PostgreSQL, CouchDB and pgAdmin.
+You can verify this command worked by running `docker ps`. It should show 5 containers running including couch2pg, dbt, PostgreSQL, CouchDB and pgAdmin.
 
 Now that all services are running, use pgAdmin to connect to server `postgres:5432` with user `postgres` and password `postgres`. You should be able to see data being inserted into the `v1.medic` table when inserting sample data into the CouchDB instance.
 
 ### Separate CouchDB instance 
-This setup involves starting couch2pg, PostgreSQL, pgAdmin and DBT. It assumes you have a CouchDB instance running, and you updated the `.env` CouchDB variables accordingly.
+This setup involves starting couch2pg, PostgreSQL, pgAdmin and dbt. It assumes you have a CouchDB instance running, and you updated the `.env` CouchDB variables accordingly.
 
 Run the Docker containers locally and wait for every container to be up and running:
 ```sh
 docker-compose -f docker-compose.postgres.yml -f docker-compose.yml up -d
 ```
 
-You can verify this command worked by running `docker ps`. It should show 4 containers running including couch2pg, DBT, PostgreSQL, and pgAdmin.
+You can verify this command worked by running `docker ps`. It should show 4 containers running including couch2pg, dbt, PostgreSQL, and pgAdmin.
 
 ### Separate CouchDB and PostgreSQL instances
-This local setup involves starting couch2pg and DBT. It assumes that CouchDB and PostgreSQL instances are run separately from the Docker Compose provided with CHT Sync, and the `.env` variables were updated to match those instances details.
+This local setup involves starting couch2pg and dbt. It assumes that CouchDB and PostgreSQL instances are run separately from the Docker Compose provided with CHT Sync, and the `.env` variables were updated to match those instances details.
 
 Run the Docker containers locally and wait for every container to be up and running:
 ```sh
 docker-compose -f docker-compose.yml up -d
 ```
 
-You can verify this command worked by running `docker ps`. It should show 2 containers running: couch2pg and DBT.
+You can verify this command worked by running `docker ps`. It should show 2 containers running: couch2pg and dbt.
 
 ### Cleanup
 When you are done using the services, you can clean everything by running `down`.

content/en/contribute/medic/onboarding/technical-resources.md

@@ -37,4 +37,4 @@ There is a Slack channel *#exercism* where engineers and tech enthusiasts meet a
 | **Web Performance** | [High Performance Browser Networking](https://hpbn.co/)|
 | **PostgreSQL** | [PostgreSQL Tutorial](https://www.postgresqltutorial.com/) <br> [PostgreSQL Cheat Sheet](https://www.postgresqltutorial.com/postgresql-cheat-sheet/) <br> [PostgreSQL Views Tutorial](https://www.postgresqltutorial.com/postgresql-views/) <br> [PostgreSQL Views Documentation](https://www.postgresql.org/docs/current/tutorial-views.html) <br> [Common Table Expressions (CTEs)](https://www.postgresqltutorial.com/postgresql-tutorial/postgresql-cte/) <br> [PostgreSQL Queries with CTEs Documentation](https://www.postgresql.org/docs/current/queries-with.html) |
 | **Superset** | [Introduction to Superset](https://superset.apache.org/docs/intro/) <br> [Creating Your First Dashboard](https://superset.apache.org/docs/creating-charts-dashboards/creating-your-first-dashboard/) |
-| **DBT** | [DBT Core Manual Installation Guide](https://docs.getdbt.com/docs/core/installation) <br> [DBT Video Playlist](https://www.youtube.com/playlist?list=PLohMhitTY9xuEVMpLG3xXhsKG9j2XCTeF) |
+| **dbt** | [dbt Core Manual Installation Guide](https://docs.getdbt.com/docs/core/installation) <br> [dbt Video Playlist](https://www.youtube.com/playlist?list=PLohMhitTY9xuEVMpLG3xXhsKG9j2XCTeF) |

content/en/core/overview/cht-sync.md

@@ -24,7 +24,7 @@ Read more about setting up [CHT Sync]({{< relref "apps/guides/data/analytics/set
 [CHT Sync](https://github.com/medic/cht-sync) uses `couch2pg` to replicate data from CouchDB to PostgreSQL in a real-time manner. It listens to changes in the CHT database, and updates the analytics database accordingly.
 It is not designed to be accessed by users, and it does not have a user interface. It is designed to be run on the same server as the CHT, but it can be run on a separate server if necessary. 
 
-As CHT Sync puts all new data into a PostgreSQL database into a single table that has a `jsonb` column, this is not very useful for analytics. [CHT Pipeline](https://github.com/medic/cht-pipeline) is a set of SQL queries that transform the data in the `jsonb` column into a more useful format. It uses [DBT](https://www.getdbt.com/) to define the models that are translated into PostgreSQL tables or views, which makes it easier to query the data in the analytics platform of choice. 
+As CHT Sync puts all new data into a PostgreSQL database into a single table that has a `jsonb` column, this is not very useful for analytics. [CHT Pipeline](https://github.com/medic/cht-pipeline) is a set of SQL queries that transform the data in the `jsonb` column into a more useful format. It uses [dbt](https://www.getdbt.com/) to define the models that are translated into PostgreSQL tables or views, which makes it easier to query the data in the analytics platform of choice. 
 
 #### couch2pg
 
@@ -34,9 +34,9 @@ As CHT Sync puts all new data into a PostgreSQL database into a single table tha
 
 A free and open source SQL database used for analytics queries. See more at the [PostgreSQL](https://www.postgresql.org) site.
 
-#### DBT
+#### dbt
 
-Once the data is synchronized and stored in PostgreSQL, it undergoes transformation using predefined [DBT](https://www.getdbt.com/) models from the [cht-pipeline](https://github.com/medic/cht-pipeline). DBT is used to ingest raw JSON data from the PosgtreSQL database (`jsonb` column) and normalize it into a relational schema to make it easier to query. A daemon runs CHT Pipeline, and it updates the database whenever the data in the `jsonb` column changes.
+Once the data is synchronized and stored in PostgreSQL, it undergoes transformation using predefined [dbt](https://www.getdbt.com/) models from the [cht-pipeline](https://github.com/medic/cht-pipeline). dbt is used to ingest raw JSON data from the PosgtreSQL database (`jsonb` column) and normalize it into a relational schema to make it easier to query. A daemon runs CHT Pipeline, and it updates the database whenever the data in the `jsonb` column changes.
 
 #### Data Visualization