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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

Data catalogs

A data catalog is a central hub for users to find and understand your data. In the data catalog, you will find the connection between your business metadata and technical metadata. Business metadata is about the data that pertains to business functions such as lines of business and business names. Technical metadata might be the schema of the data and the server and database. Sometimes, data catalogs can include data lineage information and data quality checks made on the data. Many products exist on the market that might give you some of these capabilities, such as Informatica. In many cases, I have seen companies build their own custom data catalog as well. At its root, users need a place to find certified datasets and understand what they specifically mean. Why do we care so much about creating a central hub for metadata? you might ask. When we open up this type of tooling to users, it changes how users interact with the data. A user can now explore and learn about...

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