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Published inAug 2023
PublisherPackt
ISBN-139781801813396
Edition1st Edition
Concepts
Data Science
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Behram Irani
Behram Irani
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Behram Irani

Behram Irani is currently a technology leader with Amazon Web Services (AWS) specializing in data, analytics and AI/ML. He has spent over 18 years in the tech industry helping organizations, from start-ups to large-scale enterprises, modernize their data platforms. In the last 6 years working at AWS, Behram has been a thought leader in the data, analytics and AI/ML space; publishing multiple papers and leading the digital transformation efforts for many organizations across the globe. Behram has completed his Bachelor of Engineering in Computer Science from the University of Pune and has an MBA degree from the University of Florida.
Read more about Behram Irani

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Data federation using Amazon Redshift

Federated queries can be executed even from inside Redshift, allowing Redshift data to be joined with data from relational data sources such as PostgreSQL and MySQL, either on Amazon RDS or on Amazon Aurora. For certain use cases, it does not make sense to spend time creating an ETL pipeline to load data inside Redshift. Redshift can connect to these sources and distribute the execution of such queries down to the data source itself to improve performance.

The following figure highlights the current data sources that Redshift federated queries can work with. With the federated architecture in place inside Redshift, more source connectors may get added in the future, to expand the ecosystem and broaden the use cases that can be solved with this architecture pattern:

Figure 9.7 – Redshift federated queries

Figure 9.7 – Redshift federated queries

Amazon Redshift federated queries use case

To understand this better, let’s consider a use case...

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Modern Data Architecture on AWS
Published in: Aug 2023Publisher: PacktISBN-13: 9781801813396
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Behram Irani

Behram Irani is currently a technology leader with Amazon Web Services (AWS) specializing in data, analytics and AI/ML. He has spent over 18 years in the tech industry helping organizations, from start-ups to large-scale enterprises, modernize their data platforms. In the last 6 years working at AWS, Behram has been a thought leader in the data, analytics and AI/ML space; publishing multiple papers and leading the digital transformation efforts for many organizations across the globe. Behram has completed his Bachelor of Engineering in Computer Science from the University of Pune and has an MBA degree from the University of Florida.
Read more about Behram Irani

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