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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Accessibility to data

Even though there are many existing data sources, some of them might be inaccessible, unreliable, or irrelevant to the purpose of your pipeline. Further, measuring the accessibility of data sources is dependent on circumstances that are oftentimes outside of your direct control, such as procuring the right access credentials, assessing the finesse of a company’s cybersecurity system, or simply having a limitation in your system’s short-term storage capacity.

Whatever the unique limitations of data accessibility are, it needs to be accounted for within the design of your architecture since the ability to connect to data sources with consistency has heavy impacts on downstream workflows. Being aware of the frequency of connection for each data source is essential to not only choose the most accessible data source but also to help determine the cadence of certain analytics due to the restriction of how often various sources can be merged together...

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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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Accessibility to data

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