Data Engineering with Python PDF Github

Data Engineering with Python PDF Github
Data engineering with Python pdf GitHub
eBook: Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python PDF by Paul Crickard

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About This Premium eBook:

The book will show you how to tackle challenges commonly faced in different aspects of data engineering. You’ll start with an introduction to the basics of data engineering, along with the technologies and frameworks required to build data pipelines to work with large datasets. 

You’ll learn how to transform and clean data and perform analytics to get the most out of your data. As you advance, you'll discover how to work with big data of varying complexity and production databases, and build data pipelines. Using real-world examples, you’ll build architectures on which you’ll learn how to deploy data pipelines. 

By the end of this Python book, you’ll have gained a clear understanding of data modeling techniques, and will be able to confidently build data engineering pipelines for tracking data, running quality checks, and making necessary changes in production.

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November 02, 2020
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