Crickard, Paul
Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
- ISBN 13:
- 9781839214189
- author:
- Crickard, Paul
- format:
- Paperback
- publisher:
- Packt Publishing
- language:
- English
- Publication Year:
- 2020
- Pages:
- 356
- Dimensions:
- 23.5 x 19.1 x 1.9 centimetres (0
- Genre:
- Computers, Computer Science, Data Modeling,
- Condition:
- New
- Availability:
- Item usually sent within 5 working days
Description
Build efficient data engineering infrastructure with Python. This book provides practical examples to help you become well-versed in data architectures, data preparation, and optimization skills. You'll learn how to design data models, extract, transform, and load (ETL) data using Python, and schedule, automate, and monitor complex data pipelines in production. You'll start by exploring the basics of data engineering and the technologies required to build data pipelines for large datasets. As you progress, you'll discover how to work with big data, production databases, and build data pipelines. Using real-world examples, you'll learn how to deploy data pipelines and gain a clear understanding of data modeling techniques. By the end of this book, you'll be able to confidently build data engineering pipelines for tracking data, running quality checks, and making necessary changes in production.
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