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Modern Data Architectures with Python

You're reading from  Modern Data Architectures with Python

Product type Book
Published in Sep 2023
Publisher Packt
ISBN-13 9781801070492
Pages 318 pages
Edition 1st Edition
Languages
Author (1):
Brian Lipp Brian Lipp
Profile icon Brian Lipp

Table of Contents (19) Chapters

Preface Part 1:Fundamental Data Knowledge
Chapter 1: Modern Data Processing Architecture Chapter 2: Understanding Data Analytics Part 2: Data Engineering Toolset
Chapter 3: Apache Spark Deep Dive Chapter 4: Batch and Stream Data Processing Using PySpark Chapter 5: Streaming Data with Kafka Part 3:Modernizing the Data Platform
Chapter 6: MLOps Chapter 7: Data and Information Visualization Chapter 8: Integrating Continous Integration into Your Workflow Chapter 9: Orchestrating Your Data Workflows Part 4:Hands-on Project
Chapter 10: Data Governance Chapter 11: Building out the Groundwork Chapter 12: Completing Our Project Index Other Books You May Enjoy

Creating GitHub repos

So, we are going to set up our GitHub infrastructure and use GitHub Actions. First things first, let’s create our repositories. They will have empty README files. I am going to create five repositories, one for infrastructure as code, one for docs, one for an ML application, one for an ETL application, and one to manage DDL:

  • infra: gh repo create infra-project --public --add-readme
  • docs: gh repo create docs-project --public --add-readme
  • ML-Job: gh repo create ML-Jobs-project --public --add-readme
  • ETL-Jobs: gh repo create ETL-Jobs-project --public --add-readme
  • SCHEMA-Jobs: gh repo create SCHEMA-Jobs-project --public --add-readme

Now that every repo is created, let’s introduce a new tool we will use on all the Python repositories. We will use Poetry to manage our projects, which is a very easy-to-use package management system. It will also allow you to deploy Python applications very easily to PyPI. To install Poetry...

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