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You're reading from  Snowflake Cookbook

Product typeBook
Published inFeb 2021
Reading LevelBeginner
PublisherPackt
ISBN-139781800560611
Edition1st Edition
Languages
Python
Tools
Cloud Foundry
Concepts
Data Science
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Authors (2):
Hamid Mahmood Qureshi
Hamid Mahmood Qureshi
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Hamid Mahmood Qureshi

Hamid Qureshi is a senior cloud and data warehouse professional with almost two decades of total experience, having architected, designed, and led the implementation of several data warehouse and business intelligence solutions. He has extensive experience and certifications across various data analytics platforms, ranging from Teradata, Oracle, and Hadoop to modern, cloud-based tools such as Snowflake. Having worked extensively with traditional technologies, combined with his knowledge of modern platforms, he has accumulated substantial practical expertise in data warehousing and analytics in Snowflake, which he has subsequently captured in his publications.
Read more about Hamid Mahmood Qureshi

Hammad Sharif
Hammad Sharif
author image
Hammad Sharif

Hammad Sharif is an experienced data architect with more than a decade of experience in the information domain, covering governance, warehousing, data lakes, streaming data, and machine learning. He has worked with a leading data warehouse vendor for a decade as part of a professional services organization, advising customers in telco, retail, life sciences, and financial industries located in Asia, Europe, and Australia during presales and post-sales implementation cycles. Hammad holds an MSc. in computer science and has published conference papers in the domains of machine learning, sensor networks, software engineering, and remote sensing.
Read more about Hammad Sharif

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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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Snowflake Cookbook
Published in: Feb 2021Publisher: PacktISBN-13: 9781800560611
© 2021 Packt Publishing Limited All Rights Reserved

Authors (2)

author image
Hamid Mahmood Qureshi

Hamid Qureshi is a senior cloud and data warehouse professional with almost two decades of total experience, having architected, designed, and led the implementation of several data warehouse and business intelligence solutions. He has extensive experience and certifications across various data analytics platforms, ranging from Teradata, Oracle, and Hadoop to modern, cloud-based tools such as Snowflake. Having worked extensively with traditional technologies, combined with his knowledge of modern platforms, he has accumulated substantial practical expertise in data warehousing and analytics in Snowflake, which he has subsequently captured in his publications.
Read more about Hamid Mahmood Qureshi

author image
Hammad Sharif

Hammad Sharif is an experienced data architect with more than a decade of experience in the information domain, covering governance, warehousing, data lakes, streaming data, and machine learning. He has worked with a leading data warehouse vendor for a decade as part of a professional services organization, advising customers in telco, retail, life sciences, and financial industries located in Asia, Europe, and Australia during presales and post-sales implementation cycles. Hammad holds an MSc. in computer science and has published conference papers in the domains of machine learning, sensor networks, software engineering, and remote sensing.
Read more about Hammad Sharif

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