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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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Documenting the data discovery process

In recent years, manual data discovery has been rapidly deprecated, giving rise to machine learning and other automated solutions, bringing fast insights into data in storage or online spreadsheets, such as Google Sheets.

Nevertheless, many small companies are just starting out their businesses or data areas, so implementing a paid or cost-related solution might not be a good idea right away. As data professionals, we also need to be malleable when applying the first solution to a problem – there will always be space to improve it later.

Getting ready

This recipe will cover the steps to start the data discovery process effectively. Even though, here, the process is more related to the manual discovery steps, you will see it also applies to the automated ones.

Let’s start by downloading the datasets.

For this recipe, we are going to use the The evolution of genes in viruses and bacteria dataset (https://www.kaggle.com...

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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