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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Scaling for big data packages

In this section, we will look at different tools that will help us with scaling the ETL pipelines for big data packages.

Dask

When faced with processing capacity contingencies, it makes sense to increase your capacity with the assistance of additional devices. This is the premise for the parallelization of tasks in Python. Similar to batch processing, partitioning data (aka separating the data into equal, bite-sized bits), allows large data sources to be processed in identical, synchronous ways across multiple systems.

Figure 3.5: Concept of partitioning data

Dask is the Python library that allows for the parallelization of processing tasks in a flexible and dynamic scope. Dask is a cloud-based module that uses “clusters”, which are extra processing units in the cloud on standby, that can lend a helping hand to heavy-processing tasks initiated on your local device. The creators of Dask designed this parallelization...

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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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You're reading from Building ETL Pipelines with Python

Scaling for big data packages

Dask

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