September 2023
Intermediate to advanced
318 pages
6h 26m
English
Overview
Modern Data Architectures with Python serves as a comprehensive guide to mastering data engineering and architecture using Python. Throughout the book, you will learn to construct robust data pipelines and integrate machine learning workflows with modern data platforms. By understanding advanced concepts such as MLOps and Delta Lake, you will be able to take your organization's data practices to the next level.
What this Book will help me do
- Design and implement data platforms leveraging concepts like Data Mesh and Delta Architecture.
- Develop efficient data pipelines using Python and Apache Spark for batch and real-time processing.
- Integrate MLOps techniques into your data workflows, utilizing tools like MLflow.
- Understand data governance practices to ensure reliability and compliance.
- Create insightful data visualizations and dashboards to promote actionable insights.
Author(s)
Brian Lipp is a seasoned software architect with a passion for data and Python technologies. With years of experience building scalable data platforms, he has honed his expertise in data engineering and architecture. His practical approach to teaching makes complex concepts accessible to learners.
Who is it for?
This book is ideal for software developers, data engineers, and data architects who want to elevate their skills in modern data practices. Whether you are a beginner in Python for data or have some experience in data engineering, this resource guide offers practical insights to broaden your expertise.
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