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Modern Data Architectures with Python

You're reading from   Modern Data Architectures with Python A practical guide to building and deploying data pipelines, data warehouses, and data lakes with Python

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781801070492
Length 318 pages
Edition 1st Edition
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Author (1):
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Brian Lipp Brian Lipp
Author Profile Icon Brian Lipp
Brian Lipp
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Toc

Table of Contents (19) Chapters Close

Preface 1. Part 1:Fundamental Data Knowledge
2. Chapter 1: Modern Data Processing Architecture FREE CHAPTER 3. Chapter 2: Understanding Data Analytics 4. Part 2: Data Engineering Toolset
5. Chapter 3: Apache Spark Deep Dive 6. Chapter 4: Batch and Stream Data Processing Using PySpark 7. Chapter 5: Streaming Data with Kafka 8. Part 3:Modernizing the Data Platform
9. Chapter 6: MLOps 10. Chapter 7: Data and Information Visualization 11. Chapter 8: Integrating Continous Integration into Your Workflow 12. Chapter 9: Orchestrating Your Data Workflows 13. Part 4:Hands-on Project
14. Chapter 10: Data Governance 15. Chapter 11: Building out the Groundwork 16. Chapter 12: Completing Our Project 17. Index 18. Other Books You May Enjoy

REST APIs

REST APIs are a way to access functionality and data over the network. Databricks, like many vendors, allows you to interact and change the platform through REST API interactions.

The Databricks API

Here are some useful endpoints you can interact:

  • Cluster API: Manages clusters, including restart, create, and delete
  • Jobs API: Manages jobs and workflows, including restart, create, and delete
  • Token API: Creates and manages tokens in the workspace

Python code

Here, we have a basic client setup for a REST endpoint. In this example, it’s google.com:

  1. First, we must import the necessary libraries. Here, we are using the requests library exclusively:
    import requests
    from requests.adapters import HTTPAdapter, Retry
  2. Next, we must set up a session and define our Retry pattern. We are using Retry because the nature of Network APIs can be finicky, so we want to make sure there is a wide range of time we can get our interaction through:
    session...
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