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You're reading from  Data Ingestion with Python Cookbook

Product typeBook
Published inMay 2023
PublisherPackt
ISBN-139781837632602
Edition1st Edition
Concepts
Data Engineering
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Author (1)
Gláucia Esppenchutz
Gláucia Esppenchutz
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Gláucia Esppenchutz

Gláucia Esppenchutz is a data engineer with expertise in managing data pipelines and vast amounts of data using cloud and on-premises technologies. She worked in companies such as Globo, BMW Group, and Cloudera. Currently, she works at AiFi, specializing in the field of data operations for autonomous systems. She comes from the biomedical field and shifted her career ten years ago to chase the dream of working closely with technology and data. She is in constant contact with the open source community, mentoring people and helping to manage projects, and has collaborated with the Apache, PyLadies group, FreeCodeCamp, Udacity, and MentorColor communities.
Read more about Gláucia Esppenchutz

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Reading a JSON file

JavaScript Object Notation (JSON) is a semi-structured data format. Some articles also define JSON as an unstructured data format, but the truth is this format can be used for multiple purposes.

JSON structure uses nested objects and arrays and, due to its flexibility, many applications and APIs use it to export or share data. That is why describing this file format in this chapter is essential.

This recipe will explore how to read a JSON file using a built-in Python library and explain how the process works.

Note

JSON is an alternative to XML files, which are very verbose and require more coding to manipulate their data.

Getting ready

This recipe is going to use the GitHub Events JSON data, which can be found in the GitHub repository of this book at https://github.com/jdorfman/awesome-json-datasets with other free JSON data.

To retrieve the data, click on GitHub API | Events, copy the content from the page, and save it as a .json file...

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Data Ingestion with Python Cookbook
Published in: May 2023Publisher: PacktISBN-13: 9781837632602
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Gláucia Esppenchutz

Gláucia Esppenchutz is a data engineer with expertise in managing data pipelines and vast amounts of data using cloud and on-premises technologies. She worked in companies such as Globo, BMW Group, and Cloudera. Currently, she works at AiFi, specializing in the field of data operations for autonomous systems. She comes from the biomedical field and shifted her career ten years ago to chase the dream of working closely with technology and data. She is in constant contact with the open source community, mentoring people and helping to manage projects, and has collaborated with the Apache, PyLadies group, FreeCodeCamp, Udacity, and MentorColor communities.
Read more about Gláucia Esppenchutz

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