You're reading from Building ETL Pipelines with Python

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Published inSep 2023

PublisherPackt

ISBN-139781804615256

Edition1st Edition

Concepts

Data Streaming

Authors (2):

Brij Kishore Pandey

Emily Ro Schoof

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Best practices for data loading

There isn’t one universally definitive approach to creating data pipeline loading activities, but some methods are more effective than others. Proper preparation and adherence to best practices empower you to navigate the data loading phase with confidence, optimizing efficiency, accuracy, and reliability in your ETL workflow.

The process of designing a data loading activity reflects the level of understanding you have of the full environmental conditions of your system. You can use the following three principles to design a data loading workflow that is both scalable and reusable:

Utilizing techniques such as bulk loading, parallel processing, and optimized SQL queries can significantly enhance loading performance for large datasets. By adopting scalable strategies, you ensure that your data loading solution remains efficient and responsive even as data volume increases.
Automation streamlines the loading process, reducing the...

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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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Best practices for data loading

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