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Snowflake Cookbook

You're reading from  Snowflake Cookbook

Product type Book
Published in Feb 2021
Publisher Packt
ISBN-13 9781800560611
Pages 330 pages
Edition 1st Edition
Languages
Authors (2):
Hamid Mahmood Qureshi Hamid Mahmood Qureshi
Profile icon Hamid Mahmood Qureshi
Hammad Sharif Hammad Sharif
Profile icon Hammad Sharif
View More author details

Table of Contents (12) Chapters

Preface 1. Chapter 1: Getting Started with Snowflake 2. Chapter 2: Managing the Data Life Cycle 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

Processing near real-time data into a Snowflake table using Snowpipe

This recipe guides you through the process of setting up a Snowpipe and enabling the streaming of data from a cloud storage bucket.

Getting ready

Since we will be performing configuration with AWS to configure events on the S3 bucket, you should have the required privileges on the bucket. If you do not have access, you will need to ask your AWS administrator to configure the S3 bucket for you. The sample files, if you would like to download them for this recipe, can be found at https://github.com/PacktPublishing/Snowflake-Cookbook/tree/master/Chapter03/r7.

How to do it…

The steps for this recipe are as follows:

  1. Let's first create a database where we will create our target table, Snowpipe, and the stage objects:
    CREATE DATABASE SP_EX;
  2. Create the target table where we will load the data through Snowpipe:
    CREATE TABLE TRANSACTIONS
    (
      Transaction_Date DATE,
      Customer_ID...
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