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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

Loading delimited bulk data into Snowflake from cloud storage

This recipe demonstrates several important concepts related to loading data stored in cloud storage, for example, Amazon S3 bucket, Azure Blob Storage, and so on, into your Snowflake instance. To load data from cloud storage, we will make use of the external stage concept in Snowflake.

Getting ready

As we will be loading a file from cloud storage to Snowflake, you should have a cloud storage bucket created with files present in the bucket. To save time, you can download a previously created sample file from https://github.com/PacktPublishing/Snowflake-Cookbook/blob/master/Chapter03/r2/cc_info.csv.

Before proceeding with this recipe, follow the steps in the Configuring Snowflake access to private S3 buckets recipe to set up access when using a private or restricted bucket.

How to do it…

In order to load a file from cloud storage, we will create an external stage pointing to the cloud storage and use...

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