examples(dagster): add csv_to_postgres project

dagster/examples/csv_to_postgres/README.md

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+# csv_to_postgres
+
+This is a [Dagster](https://dagster.io/) project scaffolded with [`dagster project scaffold`](https://docs.dagster.io/guides/build/projects/creating-a-new-project).
+
+## Getting started
+
+First, install your Dagster code location as a Python package. By using the --editable flag, pip will install your Python package in ["editable mode"](https://pip.pypa.io/en/latest/topics/local-project-installs/#editable-installs) so that as you develop, local code changes will automatically apply.
+
+```bash
+pip install -e ".[dev]"
+```
+
+Then, start the Dagster UI web server:
+
+```bash
+dagster dev
+```
+
+Open http://localhost:3000 with your browser to see the project.
+
+You can start writing assets in `csv_to_postgres/assets.py`. The assets are automatically loaded into the Dagster code location as you define them.
+
+## Development
+
+### Adding new Python dependencies
+
+You can specify new Python dependencies in `setup.py`.
+
+### Unit testing
+
+Tests are in the `csv_to_postgres_tests` directory and you can run tests using `pytest`:
+
+```bash
+pytest csv_to_postgres_tests
+```
+
+### Schedules and sensors
+
+If you want to enable Dagster [Schedules](https://docs.dagster.io/guides/automate/schedules/) or [Sensors](https://docs.dagster.io/guides/automate/sensors/) for your jobs, the [Dagster Daemon](https://docs.dagster.io/guides/deploy/execution/dagster-daemon) process must be running. This is done automatically when you run `dagster dev`.
+
+Once your Dagster Daemon is running, you can start turning on schedules and sensors for your jobs.
+
+## Deploy on Dagster+
+
+The easiest way to deploy your Dagster project is to use Dagster+.
+
+Check out the [Dagster+ documentation](https://docs.dagster.io/dagster-plus/) to learn more.