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Data Engineering with AWS Cookbook

You're reading from   Data Engineering with AWS Cookbook A recipe-based approach to help you tackle data engineering problems with AWS services

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Product type Paperback
Published in Nov 2024
Publisher Packt
ISBN-13 9781805127284
Length 528 pages
Edition 1st Edition
Languages
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Authors (4):
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Viquar Khan Viquar Khan
Author Profile Icon Viquar Khan
Viquar Khan
Gonzalo Herreros González Gonzalo Herreros González
Author Profile Icon Gonzalo Herreros González
Gonzalo Herreros González
Huda Nofal Huda Nofal
Author Profile Icon Huda Nofal
Huda Nofal
Trâm Ngọc Phạm Trâm Ngọc Phạm
Author Profile Icon Trâm Ngọc Phạm
Trâm Ngọc Phạm
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Toc

Table of Contents (16) Chapters Close

Preface 1. Chapter 1: Managing Data Lake Storage 2. Chapter 2: Sharing Your Data Across Environments and Accounts FREE CHAPTER 3. Chapter 3: Ingesting and Transforming Your Data with AWS Glue 4. Chapter 4: A Deep Dive into AWS Orchestration Frameworks 5. Chapter 5: Running Big Data Workloads with Amazon EMR 6. Chapter 6: Governing Your Platform 7. Chapter 7: Data Quality Management 8. Chapter 8: DevOps – Defining IaC and Building CI/CD Pipelines 9. Chapter 9: Monitoring Data Lake Cloud Infrastructure 10. Chapter 10: Building a Serving Layer with AWS Analytics Services 11. Chapter 11: Migrating to AWS – Steps, Strategies, and Best Practices for Modernizing Your Analytics and Big Data Workloads 12. Chapter 12: Harnessing the Power of AWS for Seamless Data Warehouse Migration 13. Chapter 13: Strategizing Hadoop Migrations – Cost, Data, and Workflow Modernization with AWS 14. Index 15. Other Books You May Enjoy

Using Redshift workload management (WLM) to manage workload priority

Amazon Redshift’s WLM feature is designed to help manage and prioritize queries and other database operations. By enabling and configuring WLM, users can ensure critical queries receive the necessary resources without being stalled by other less urgent processes. This recipe will guide you through setting up WLM, including the configuration of automatic WLM, to manage workloads in your Redshift environment efficiently.

Getting ready

Before configuring WLM in Amazon Redshift, you must have administrative access to your Redshift cluster and the AWS Management Console. Ensure your Redshift cluster is operational and you have familiarized yourself with the basic concepts of how Redshift handles queries and operations.

How to do it…

  1. Log in to the Redshift management console.
  2. Navigate to your cluster, click on Configurations as shown, and click on Workload management:
...
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