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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

Setting up your environment

Before we begin our chapter, let’s take the time to set up our working environment.

Python, AWS, and Databricks

As we have with many others, this chapter assumes you have a working version of Python 3.6 or above installed in your development environment. We will also assume you have set up an AWS account and have set up Databricks with that AWS account.

The Databricks CLI

The first step is to install the databricks-cli tool using the pip Python package manager:

pip install databricks-cli

Let’s validate that everything has been installed correctly. If this command produces the tool version, then everything is working correctly:

Databricks -v

Now, let’s set up authentication. First, go into the Databricks UI and generate a personal access token. The following command will ask for the host created for your Databricks instance and the created token:

databricks configure --token

We can quickly determine whether...

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