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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 data from a JDBC database using SQL

With the connection tested and SparkSession configured, the next step is to ingest the data from PostgreSQL, filter it, and save it in an analytical format called a Parquet file. Don’t worry about how Parquet files work for now; we will cover it in the following chapters.

This recipe aims to use the connection we created with our JDBC database and ingest the data from the world_population table.

Getting ready

This recipe will use the same dataset and code as the Configuring a JDBC connection recipe to connect to the PostgreSQL database. Ensure your Docker container is running or your PostgreSQL server is up.

This recipe continues from the content presented in Configuring a JDBC connection. We will now learn how to ingest the data inside the Postgres database.

How to do it…

Following on from our previous code, let’s read the data in our database as follows:

  1. Creating our DataFrame: Using the...
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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