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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 Parquet files into Snowflake

This recipe demonstrates how to load Parquet-format data from files present on cloud storage. We will make use of an external stage created on top of an AWS S3 bucket and will load the Parquet-format data into a new table.

Getting ready

Since we will be loading a file from our local system into Snowflake, we will need to first get such a file ready on the local system. To save time, you can download a previously created sample file from https://github.com/PacktPublishing/Snowflake-Cookbook/blob/master/Chapter03/r4.

How to do it…

We shall start by creating a database, followed by creating a table that will contain the Parquet file. We need will then create a file format for the Parquet file. The steps are as follows:

  1. Let's first create a database where we will create our table and load it with some sample data:
    CREATE DATABASE C3_R4;
  2. Create a new table called TRANSACTIONS. We will load the sample data into this...
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