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

Authors (2):

Hamid Mahmood Qureshi

Hammad Sharif

View More author details

Creating a tailored multi-cluster virtual warehouse

While creating a standard virtual warehouse is a straightforward affair, configuring a virtual warehouse that the standard options have been customized for can be a slightly more involved process. In this recipe, we will create a new multi-cluster virtual warehouse and set the scaling configuration so that the virtual warehouse can scale up and down on demand. We will also configure some advanced parameters to allow a higher number of concurrent queries to be executed.

Getting ready

To create a multi-cluster virtual warehouse, you must have the Enterprise or higher edition of Snowflake. If you run the following statements on a lower edition, you will likely receive an error stating 'MULTI_CLUSTER_WAREHOUSES' not enabled. Your user should have the SYSADMIN role or higher since the SYSADMIN (or the even higher ACCOUNTADMIN) role can create a virtual warehouse.

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Snowflake Cookbook

Published in: Feb 2021Publisher: PacktISBN-13: 9781800560611

Authors (2)

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 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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Creating a tailored multi-cluster virtual warehouse

Getting ready

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Authors (2)

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