Update README.md

Author: aboyalejandro

README.md

@@ -1,4 +1,6 @@
-# Intro
+# 🚀 Portable Data Stack with dbt, DuckDB and Sheets! 
+
+All the context in this blog post: [📦 Portable Data Stack Concept With dbt, DuckDB, Sheets and Looker Studio](https://open.substack.com/pub/thepipeandtheline/p/portable-data-stack-concepts-with-dbt-duckdb-sheets-looker-studio)
 
 A portable data-stack with:
 - Custom Python ETL
@@ -7,37 +9,53 @@ A portable data-stack with:
 - Google Sheets for Warehouse
 - Data Studio for Visualization
 
-# Draft 
-- requisites
-    - cuenta demo de piwikpro
-    - crear conectar service account. Add your service_account.json file in /reporting path
-    - crear un sheets vacío, darle acceso al mail del service account
-    - crear un data studio y conectarlo al sheets (hablar de caveats si se pierde la hoja)
-    - duckdb / Docker Desktop
-    - rename .env.example to .env and fill in your values
-
-## Steps
-- make build
-- make run (generate data, save to duckdb, run dbt and export to sheets) -> container will keep running
-- connect data studio to sheets
-
-# if you want to query data
+## 🙋🏻‍♂️ Pre-requisites
+- Docker Desktop
+- PiwikPRO demo account.
+- GCP Service account to work with Google Sheets. Add your service_account.json file in /reporting path.
+- An Empty Spreadsheet that shares access to the email generated by the GCP Service account. 
+- A Looker Studio connected to the Spreadhsheet.
+- DuckDB to run local queries.
+- rename .env.example to .env and fill in your values if you want to test it!
+
+## 📝 Steps
+- To get started with the Docker Image:
+```sh
+make build
+```
+- This will generate data, save to DuckDB, run dbt and export to sheets. Container will keep running: 
 
-Uncomment line 45, 46, 47 and replace the command value with:
+```sh
+make run 
+```
+- Once the data is present on the Google Sheet, connect Looker Studio to it. 
+- If you want to query data. Uncomment line 45, 46, 47 and replace the command value with:
 
- ```sh
+```sh
 sh -c "python model_export.py && tail -f /dev/null
 ```
-This will leave the container open so you can copy the files to query.
 
-- make duckdb-files (if you want to query data)
-- make duckdb (query duckdb)
+- This will leave the container open so you can copy the files to query and use DuckDB querying engine:
+
+```sh
+make duckdb-files
+make duckdb 
+```
 
 ```sql
  show tables; 
  select * from attribution limit 5;
 ````
+- If you want to remove all dependencies from the container, run: 
+
+```sh
+make clean 
+```
+
+- To run in Github Actions, create your Actions secrets for the .env file.
 
-- make clean (removes all generated files)
+### 😎 [Follow me on Linkedin](https://www.linkedin.com/in/alejandro-aboy/)
+- Get tips, learnings and tricks for your Data career!
 
-- To run in Github Actions, create your secrets for the .env file
+### 📩 [Subscribe to The Pipe & The Line](https://thepipeandtheline.substack.com/?utm_source=github&utm_medium=referral)
+- Join the Substack newsletter to get similar content to this one and more to improve your Data career!