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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 Brian Lipp
Profile icon Brian Lipp
LinkedIn
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

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

To get the most out of this book

A fundamental knowledge of Python is strongly suggested.

Software/hardware covered in the book

OS requirements

Databricks

Windows, macOS, or Linux

Kafka

Apache Spark

If you are using the digital version of this book, we advise you to type the code yourself or access the code via the GitHub repository (link available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

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Authors (1)

Profile icon Brian Lipp
LinkedIn
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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