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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

Practical lab

Problem 1: Create a table and give access to a user through group ACL.

Create a user and group called chapter_10_user and chapter_10_group, respectively.

Figure 10.5: Managing users

Figure 10.5: Managing users

Let’s now create our user, chapter_10_user.

Figure 10.6: Configuring the user

Figure 10.6: Configuring the user

Let’s now create our group, chapter_10_group; we can click the Groups tab and then click Add group.

Figure 10.7: Group management

Figure 10.7: Group management

Once you type in the name, click Save.

Figure 10.8: Adding a new group

Figure 10.8: Adding a new group

Lastly, we need to add users to the group by clicking Add members.

Figure 10.9: Group membership

Figure 10.9: Group membership

Search for chapter_10_user and add the user to the group.

Figure 10.10: Group new user

Figure 10.10: Group new user

We can now see our user is added to our group.

Figure 10.11: Group user management

Figure 10.11: Group user management

Now, let’s create...

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