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

Technical requirements

The chapter assumes that you have a Snowflake account already set up. It also requires you to have access to an Amazon S3 bucket to use to get hold of external data and use it within Snowflake.

The code for this chapter can be found at the following GitHub URL:

https://github.com/PacktPublishing/Snowflake-Cookbook/tree/master/Chapter02

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Snowflake Cookbook

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

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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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