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Merge pull request #237 from isangwanrahul/main
Updates readme
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bootcamp/introduction.md

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- Data Quality (analytics)
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- Data Quality (infrastructure)
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- Data impact and visualization (analytics)
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- Day 1 Lecture is [here](https://www.dataexpert.io/lesson/data-visualization-and-impact-day-1-lecture-yt)
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- Day 1 Lab is [here](https://www.dataexpert.io/lesson/data-visualization-and-impact-day-1-lab-yt)
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- Day 2 Lecture is [here](https://www.dataexpert.io/lesson/data-visualization-and-impact-day-2-lecture-yt)
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- Day 2 Lab is [here](https://www.dataexpert.io/lesson/data-visualization-and-impact-day-2-lab-yt)
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- Data pipeline maintenance (infrastructure)
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- Homework is [here](materials/6-data-pipeline-maintenance/homework/homework.md)
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- Day 1 Lecture is [here](https://www.dataexpert.io/lesson/data-pipeline-maintenance-day-1-lecture-yt)

bootcamp/materials/1-dimensional-data-modeling/Makefile

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docker rm ${DOCKER_CONTAINER}; \
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fi
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.PHONY: stop
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stop:
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docker compose stop
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.PHONY: start
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start:
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docker logs start
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.PHONY: restart
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restart:
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docker compose down -v; \

bootcamp/materials/1-dimensional-data-modeling/README.md

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2. Go inside the container by executing `docker exec -it <container_name_or_id> bash`
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3. Run `pg_restore -U $POSTGRES_USER -d $POSTGRES_DB /docker-entrypoint-initdb.d/data.dump`
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## **Frequently Asked Questions (FAQs)**
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1. **Not able to connect Postgres running on Docker?**
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- Please recheck details like host and port details.
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2. **Throwing errors like connection refused even when all details are correct.**
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- Please check that the port(5432 or port you use) runs only docker service, not any other services.
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- Windows - use the command to check port availability in cmd ```netstat -ano | findstr :5432```
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- to kill rest of extra services use ```taskkill /PID <PID> /F```
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- Mac - use the command on terminal to check port availability ```lsof -i :5432```
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- to kill rest of extra services use ```kill -9 <PID>```
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#### 💡 Additional Docker Make commands
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bootcamp/materials/3-spark-fundamentals/README.md

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Running `pip install -r requirements.txt` will install them.
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Running pytest is easy. You just need to run `python -m pytest` and you're good to go!
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> **_NOTE:_** Make sure to have spark set locally before running below.
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Running the pytest is easy. You need to run `python -m pytest` and you're good to go!
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Then, you should be able to access a Jupyter notebook at `localhost:8888`.
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The first notebook to be able to run is the `event_data_pyspark.ipynb` inside the `notebooks` folder.
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The first notebook to be able to run is the `event_data_pyspark.ipynb` inside the `notebooks` folder.

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