You're reading from Modern Data Architectures with Python

Product typeBook

Published inSep 2023

Reading LevelExpert

PublisherPackt

ISBN-139781801070492

Edition1st Edition

Languages

Python

Concepts

Data Science

Author (1)

Brian Lipp

Summary

We covered a lot of material. To summarize, we talked about the importance of data visualizations and how to create them using a variety of tooling. We went over tips and tricks for notebooks in Databricks. We delved into SQL analytics and connecting BI Tools such as Tableau and DBT. With the knowledge you now possess, you should be able to design and implement complex data visualization systems.

In the upcoming chapter, we will see how to organize our data projects and build them into continuous integration projects using Jenkins and GitHub. As we write our code, we will look at techniques for automating checks of our code. We will then discuss how to deploy our code into production.

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Modern Data Architectures with Python

Published in: Sep 2023Publisher: PacktISBN-13: 9781801070492

Author (1)

Brian Lipp

Brian Lipp is a Technology Polyglot, Engineer, and Solution Architect with a wide skillset in many technology domains. His programming background has ranged from R, Python, and Scala, to Go and Rust development. He has worked on Big Data systems, Data Lakes, data warehouses, and backend software engineering. Brian earned a Master of Science, CSIS from Pace University in 2009. He is currently a Sr. Data Engineer working with large Tech firms to build Data Ecosystems.
Read more about Brian Lipp

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