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  • Book Overview & Buying Amazon Redshift Cookbook
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Amazon Redshift Cookbook

Amazon Redshift Cookbook - Second Edition

By : Shruti Worlikar, Harshida Patel, Anusha Challa
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Amazon Redshift Cookbook

Amazon Redshift Cookbook

By: Shruti Worlikar, Harshida Patel, Anusha Challa

Overview of this book

Amazon Redshift Cookbook offers comprehensive guidance for leveraging AWS's fully managed cloud data warehousing service. Whether you're building new data warehouse workloads or migrating traditional on-premises platforms to the cloud, this essential resource delivers proven implementation strategies. Written by AWS specialists, these easy-to-follow recipes will equip you with the knowledge to successfully implement Amazon Redshift-based data analytics solutions using established best practices. The book focuses on Redshift architecture, showing you how to perform database administration tasks on Redshift. You'll learn how to optimize your data warehouse to quickly execute complex analytic queries against very large datasets. The book covers recipes to help you take full advantage of Redshift's columnar architecture and managed services. You'll discover how to deploy fully automated and highly scalable extract, transform, and load (ETL) processes, helping you minimize the operational effort that you invest in managing regular ETL pipelines and ensuring the timely and accurate refreshing of your data warehouse. By the end of the Redshift book, you'll be able to implement a Redshift-based data analytics solution by adopting best-practice approaches for solving commonly faced problems. *Email sign-up and proof of purchase required
Table of Contents (17 chapters)
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14
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15
Index

Updating and inserting data

An Extract Load Transform (ELT) process is a common technique to refresh the data warehouse from the source system. The ELT process can be executed as a batch near real-time process that allows staging the data from the source system and performing bulk refresh into the Amazon Redshift data warehouse (serverless or provisioned cluster). Amazon Redshift being an RDBMS system allows data refresh in the form of MERGE operations, which combine the functionality of INSERT, UPDATE, and DELETE operations. In this recipe, we will delve into some of the common ELT strategies to refresh a dimensional model using the MERGE command.

Getting ready

To complete this recipe, you will need:

  • Access to the AWS Console
  • An Amazon Redshift data warehouse deployed in AWS region eu-west-1
  • Amazon Redshift data warehouse admin user credentials
  • Access to any SQL interface, such as a SQL client or the Amazon Redshift query editor
  • A sample...
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Amazon Redshift Cookbook
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