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You're reading from  Data Ingestion with Python Cookbook

Product typeBook
Published inMay 2023
PublisherPackt
ISBN-139781837632602
Edition1st Edition
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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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Ingesting Parquet files

Apache Parquet is a columnar storage format that is open source and designed to support fast processing. It is available to any project in a Hadoop ecosystem and can be read in different programming languages.

Due to its compression and fastness, this is one of the most used formats when needing to analyze data in great volume. The objective of this recipe is to understand how to read a collection of Parquet files using PySpark in a real-world scenario.

Getting ready

For this recipe, we will need SparkSession to be initialized. You can use the code provided at the beginning of this chapter to do so.

The dataset for this recipe will be Yellow Taxi Trip Records from New York. You can download it by accessing the NYC Government website and selecting 2022 | January | Yellow Taxi Trip Records or using this link:

https://d37ci6vzurychx.cloudfront.net/trip-data/yellow_tripdata_2022-01.parquet

Feel free to execute the code with a Jupyter notebook...

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Data Ingestion with Python Cookbook
Published in: May 2023Publisher: PacktISBN-13: 9781837632602

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