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Snowflake Cookbook

You're reading from   Snowflake Cookbook Techniques for building modern cloud data warehousing solutions

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Product type Paperback
Published in Feb 2021
Publisher Packt
ISBN-13 9781800560611
Length 330 pages
Edition 1st Edition
Languages
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Authors (2):
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Hamid Mahmood Qureshi Hamid Mahmood Qureshi
Author Profile Icon Hamid Mahmood Qureshi
Hamid Mahmood Qureshi
Hammad Sharif Hammad Sharif
Author Profile Icon Hammad Sharif
Hammad Sharif
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Toc

Table of Contents (12) Chapters Close

Preface 1. Chapter 1: Getting Started with Snowflake 2. Chapter 2: Managing the Data Life Cycle FREE CHAPTER 3. Chapter 3: Loading and Extracting Data into and out of Snowflake 4. Chapter 4: Building Data Pipelines in Snowflake 5. Chapter 5: Data Protection and Security in Snowflake 6. Chapter 6: Performance and Cost Optimization 7. Chapter 7: Secure Data Sharing 8. Chapter 8: Back to the Future with Time Travel 9. Chapter 9: Advanced SQL Techniques 10. Chapter 10: Extending Snowflake Capabilities 11. Other Books You May Enjoy

Extracting data from Snowflake

This recipe walks you through extracting data from a Snowflake table. We will extract the data into an internal stage and later demonstrate how to do the same via an external stage, which will result in data being written to an S3 bucket.

Getting ready

You should have a table already created and populated, from which we will extract data. This table can be any table that you have previously loaded as part of this chapter or any other table available in your environment.

Ensure that you have followed the steps in the Configuring Snowflake access to private S3 buckets recipe and have enabled read and write access for Snowflake to your bucket. If write access is not present, Snowflake will not be able to write the extract into your bucket.

We will use SnowSQL to get the file from the internal stage to the local directory, so make sure that SnowSQL is installed on your system and you can successfully connect to your Snowflake instance. We don...

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