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Amazon Redshift Cookbook

You're reading from   Amazon Redshift Cookbook Recipes for building modern data warehousing solutions

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781800569683
Length 384 pages
Edition 1st Edition
Languages
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Authors (3):
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Shruti Worlikar Shruti Worlikar
Author Profile Icon Shruti Worlikar
Shruti Worlikar
Harshida Patel Harshida Patel
Author Profile Icon Harshida Patel
Harshida Patel
Thiyagarajan Arumugam Thiyagarajan Arumugam
Author Profile Icon Thiyagarajan Arumugam
Thiyagarajan Arumugam
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Toc

Table of Contents (13) Chapters Close

Preface 1. Chapter 1: Getting Started with Amazon Redshift 2. Chapter 2: Data Management FREE CHAPTER 3. Chapter 3: Loading and Unloading Data 4. Chapter 4: Data Pipelines 5. Chapter 5: Scalable Data Orchestration for Automation 6. Chapter 6: Data Authorization and Security 7. Chapter 7: Performance Optimization 8. Chapter 8: Cost Optimization 9. Chapter 9: Lake House Architecture 10. Chapter 10: Extending Redshift's Capabilities 11. Other Books You May Enjoy Appendix

Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "To create the Amazon Redshift cluster, we used the redshift command and the create-cluster subcommand."

A block of code is set as follows:

SELECT 'hello world';

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

            "NodeType": "dc2.large", 
            "ElasticResizeNumberOfNodeOptions": "[4]", 
    …
            "ClusterStatus": "available"

Any command-line input or output is written as follows:

!pip install psycopg2-binary
### boto3 is optional, but recommended to leverage the AWS Secrets Manager storing the credentials  Establishing a Redshift Connection
!pip install boto3 

Bold: Indicates a new term, an important word, or words that you see onscreen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: "Navigate to your notebook instance and open JupyterLab."

Tips or important notes

Appear like this.

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