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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Authors (2):

Brij Kishore Pandey

Emily Ro Schoof

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AWS big data tools for ETL pipelines

Several AWS tools can be used for creating ETL pipelines in the cloud. In this section, we chose to focus on the most common AWS tools that are best for building cost-effective and scalable ETL workflows.

AWS Data Pipeline

AWS Data Pipeline (https://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/what-is-datapipeline.html) is a web service for orchestrating data workflows across various AWS services and on-premises systems. It provides a visual pipeline designer that makes it easy to visualize and clearly define pre-built connectors for popular data sources and destinations, scheduling, error handling, and monitoring. Data Pipeline supports a wide range of data formats and protocols, including relational databases, NoSQL databases, and Hadoop clusters.

Amazon Kinesis

Amazon Kinesis (https://aws.amazon.com/kinesis/) is a managed service a big data platform specifically designed for processing large datasets (we’re talking...

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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

AWS big data tools for ETL pipelines

AWS Data Pipeline

Amazon Kinesis

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