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

Wow, we have gone through so many concepts in this chapter! First, we reviewed the basics of data modeling in SQL and NoSQL. We then looked at the fundamental Spark APIs for data cleansing and various data documentation tooling. Lastly, we looked at dimensional modeling for data warehousing. We have set up the building blocks for the data analytics engineer role with these techniques and tools. Once you understand the needs of your users, you can now model and cleanse your data.

In the next chapter, we will explore Spark further, as well as some cloud computing techniques.

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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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