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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
Other Books You May Enjoy
15
Index

Implementing row-level security

Amazon Redshift using RBAC supports row-level security (RLS) (https://docs.aws.amazon.com/redshift/latest/dg/t_rls.html) for granular access control over sensitive data, letting you specify which users or roles can access specific records. RLS policies defined at the table level restrict access to particular rows, complementing column-level security. Enforcing RLS policies on tables limits the result sets returned to users based on the policy expressions. As a user with the necessary permissions, such as a superuser and the sys:secadmin role, you can create, modify, or manage all row-level security policies for tables. Multiple RLS policies can be attached to objects, roles, or users. Depending on the RLS CONJUNCTION TYPE setting for the table, Amazon Redshift applies all the policies defined for a user using either AND or OR syntax.

Getting ready

To complete this recipe, you will need:

  • An Amazon Redshift data warehouse deployed in...
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