Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python

Paul Crickard

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Idioma: inglés

Editorial: Packt Publishing Limited, 2020

183921418X / 9781839214189

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Librería: World of Books Inc, Montgomery, IL, Estados Unidos de AmericaWorld of Books Inc

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Build, monitor, and manage real-time data pipelines to create data engineering infrastructure efficiently using open-source Apache projects Key Features Become well-versed in data architectures, data preparation, and data optimization skills with the help of practical examples Design data models and learn how to extract, transform, and load (ETL) data using Python Schedule, automate, and monitor complex data pipelines in production Book DescriptionData engineering provides the foundation for data science and analytics, and forms an important part of all businesses. This book will help you to explore various tools and methods that are used for understanding the data engineering process using Python. 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.What you will learn Understand how data engineering supports data science workflows Discover how to extract data from files and databases and then clean, transform, and enrich it Configure processors for handling different file formats as well as both relational and NoSQL databases Find out how to implement a data pipeline and dashboard to visualize results Use staging and validation to check data before landing in the warehouse Build real-time pipelines with staging areas that perform validation and handle failures Get to grips with deploying pipelines in the production environment Who this book is forThis book is for data analysts, ETL developers, and anyone looking to get started with or transition to the field of data engineering or refresh their knowledge of data engineering using Python. This book will also be useful for students planning to build a career in data engineering or IT professionals preparing for a transition. No previous knowledge of data engineering is required.

N° de ref. del artículo CIN183921418XG

Título
Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
Autor
Paul Crickard
Editorial
Packt Publishing Limited
Año de publicación
2020
Estado
Good
Encuadernación
Paperback
Idioma
inglés
ISBN 10
183921418X
ISBN 13
9781839214189

World of Books Inc

Montgomery, IL, Estados Unidos de America

Vendedor de 2 estrellas

Vendedor de AbeBooks desde 23 de marzo de 2026

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ArtículoDe 4 a 12 días hábilesDe 3 a 6 días hábiles
Primer artículoEUR 0,00EUR 9,45
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Founded in 2002, World of Books is a leading online destination for buying and selling both preloved and new books, committed to making sustainable reading accessible to all. With a mission to help people read more and waste less, World of Books offers a huge range of affordable, high-quality books — giving both new and preloved titles a second life. The company also operates World of Books – Sell Your Books, an easy-to-use platform that allows customers to trade in unwanted books for cash, helping to keep books in circulation while promoting sustainability. As a Certified B Corp, World of Books is driven by a vision to become the world’s largest and most sustainable dedicated online bookstore. The company measures its success through the positive environmental impact it creates, the value it provides to customers, and its ability to operate profitably while supporting its sustainable mission

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