You're reading from Building ETL Pipelines with Python

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Published inSep 2023

PublisherPackt

ISBN-139781804615256

Edition1st Edition

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Data Streaming

Authors (2):

Brij Kishore Pandey

Emily Ro Schoof

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Technical requirements

To effectively utilize the resources and code examples provided in this chapter, ensure that your system meets the following technical requirements:

Software requirements:
- Integrated development environment (IDE): We recommend using PyCharm as the preferred IDE for working with Python, and we might make specific references to PyCharm throughout this chapter. However, you are free to use any Python-compatible IDE of your choice.
- Jupyter Notebooks should be installed.
- Python version 3.6 or higher should be installed.
- Pipenv should be installed for managing dependencies.
GitHub repository:
The associated code and resources for this chapter can be found in the following GitHub repository: https://github.com/PacktPublishing/Building-ETL-Pipelines-with-Python. We recommend that you fork and clone the repository to your local machine.

Exploring data cleansing and transformation

The extraction process is needed to select data that is significant in supporting...

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Building ETL Pipelines with Python

Published in: Sep 2023Publisher: PacktISBN-13: 9781804615256

Authors (2)

Brij Kishore Pandey

Brij Kishore Pandey stands as a testament to dedication, innovation, and mastery in the vast domains of software engineering, data engineering, machine learning, and architectural design. His illustrious career, spanning over 14 years, has seen him wear multiple hats, transitioning seamlessly between roles and consistently pushing the boundaries of technological advancement. He has a degree in electrical and electronics engineering. His work history includes the likes of JP Morgan Chase, American Express, 3M Company, Alaska Airlines, and Cigna Healthcare. He is currently working as a principal software engineer at Automatic Data Processing Inc. (ADP). Originally from India, he resides in Parsippany, New Jersey, with his wife and daughter.
Read more about Brij Kishore Pandey

Emily Ro Schoof

Emily Ro Schoof is a dedicated data specialist with a global perspective, showcasing her expertise as a data scientist and data engineer on both national and international platforms. Drawing from a background rooted in healthcare and experimental design, she brings a unique perspective of expertise to her data analytic roles. Emily's multifaceted career ranges from working with UNICEF to design automated forecasting algorithms to identify conflict anomalies using near real-time media monitoring to serving as a subject matter expert for General Assembly's Data Engineering course content and design. Her mission is to empower individuals to leverage data for positive impact. Emily holds the strong belief that providing easy access to resources that merge theory and real-world applications is the essential first step in this process.
Read more about Emily Ro Schoof

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