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Modern Data Architecture on AWS

You're reading from  Modern Data Architecture on AWS

Product type Book
Published in Aug 2023
Publisher Packt
ISBN-13 9781801813396
Pages 420 pages
Edition 1st Edition
Languages
Author (1):
Behram Irani Behram Irani
Profile icon Behram Irani

Table of Contents (24) Chapters

Preface Part 1: Foundational Data Lake
Prologue: The Data and Analytics Journey So Far Chapter 1: Modern Data Architecture on AWS Chapter 2: Scalable Data Lakes Part 2: Purpose-Built Services And Unified Data Access
Chapter 3: Batch Data Ingestion Chapter 4: Streaming Data Ingestion Chapter 5: Data Processing Chapter 6: Interactive Analytics Chapter 7: Data Warehousing Chapter 8: Data Sharing Chapter 9: Data Federation Chapter 10: Predictive Analytics Chapter 11: Generative AI Chapter 12: Operational Analytics Chapter 13: Business Intelligence Part 3: Govern, Scale, Optimize And Operationalize
Chapter 14: Data Governance Chapter 15: Data Mesh Chapter 16: Performant and Cost-Effective Data Platform Chapter 17: Automate, Operationalize, and Monetize Index Other Books You May Enjoy

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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