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Data Engineering Zoomcamp 2023 Week 2

Prefect

This repo contains Python code to accompany the videos that show how to use Prefect for Data Engineering. We will create ETL workflows to extract, transform, and load your data.

We will use Postgres and GCP's Google Cloud Storage and BigQuery.

Prefect helps you observe and orchestrate your dataflows.

Setup

Clone the repo

Clone the repo locally.

Install packages

In a conda environment, install all package dependencies with

pip install -r requirements.txt

Start the Prefect Orion server locally

Create another window and activate your conda environment. Start the Orion API server locally with

prefect orion start

Set up GCP

  • Log in to GCP
  • Create a Project
  • Set up Cloud Storage
  • Set up BigQuery
  • Create a service account with the required policies to interact with both services

Register the block types that come with prefect-gcp

prefect block register -m prefect_gcp

Create Prefect GCP blocks

Create a GCP Credentials block in the UI.

Paste your service account information from your JSON file into the Service Account Info block's field.

img.png

Create a GCS Bucket block in UI

Alternatively, create these blocks using code by following the templates in the blocks folder.

Create flow code

Write your Python functions and add @flow and @task decorators.

Note: all code should be run from the top level of your folder to keep file paths consistent.

Create deployments

Create and apply your deployments.

Run a deployment or create a schedule

Run a deployment ad hoc from the CLI or UI.

Or create a schedule from the UI or when you create your deployment.

Start an agent

Make sure your agent set up to poll the work queue you created when you made your deployment (default if you didn't specify a work queue).

Later: create a Docker Image and use a DockerContainer infrastructure block

Bake your flow code into a Docker image, create a DockerContainer, and your flow code in a Docker container.

Optional: use Prefect Cloud for added capabilties

Signup and use for free at https://app.prefect.cloud

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  • Jupyter Notebook 60.7%
  • Python 38.7%
  • Dockerfile 0.6%