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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

Examining table schemas and deriving an optimal structure for a table

This recipe walks you through analyzing a table's structure in conjunction with the data it contains and provides suggestions on optimizing the table structure.

Getting ready

This recipe uses a public S3 bucket for a sample file that is loaded into an example table to demonstrate the concepts. You will need to be connected to your Snowflake instance via the web UI or the SnowSQL client to execute this recipe successfully.

How to do it…

We will create a new table with a not-so-optimal structure and load it with sample data. Later, we will optimize the table and load it with the same data and analyze the two tables' storage differences. The steps for this recipe are as follows:

  1. We will start by creating a new database and a table that will hold the sample data:
    CREATE DATABASE C6_R1;
    CREATE TABLE CUSTOMER
    (
      CustomerID VARCHAR(100),
      FName VARCHAR(1024),
     ...
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