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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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Monitoring our data ingest file size

When ingesting data, we can track a few items to ensure the incoming information is what we expect. One of the most important of these items is the data size we are ingesting, which can mean file size or the size of chunks of streaming data.

Logging the size of incoming data allows the creation of intelligent and efficient monitoring. If at some point the size of incoming data diverges from what is expected, we can take action to investigate and resolve the issue.

In this recipe, we will create simple Python code that logs the size of ingested files, which is very valuable in data monitoring.

Getting ready

We will use only Python code. Make sure you have Python version 3.7 or above. You can use the following command on your CLI to check your version:

$ python3 –-version
Python 3.8.10

The following code execution can be done using a Python shell or a Jupyter notebook.

How to do it…

This exercise will create...

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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