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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

Concepts

Author (1):

Brian Lipp

Table of Contents (19) Chapters

Preface

1. Part 1:Fundamental Data Knowledge

2. Chapter 1: Modern Data Processing Architecture

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

Why subscribe?

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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Authors (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.

See other products by Brian Lipp

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