Book Image

Snowflake Cookbook

By : Hamid Mahmood Qureshi, Hammad Sharif
5 (1)
Book Image

Snowflake Cookbook

5 (1)
By: Hamid Mahmood Qureshi, Hammad Sharif

Overview of this book

Snowflake is a unique cloud-based data warehousing platform built from scratch to perform data management on the cloud. This book introduces you to Snowflake's unique architecture, which places it at the forefront of cloud data warehouses. You'll explore the compute model available with Snowflake, and find out how Snowflake allows extensive scaling through the virtual warehouses. You will then learn how to configure a virtual warehouse for optimizing cost and performance. Moving on, you'll get to grips with the data ecosystem and discover how Snowflake integrates with other technologies for staging and loading data. As you progress through the chapters, you will leverage Snowflake's capabilities to process a series of SQL statements using tasks to build data pipelines and find out how you can create modern data solutions and pipelines designed to provide high performance and scalability. You will also get to grips with creating role hierarchies, adding custom roles, and setting default roles for users before covering advanced topics such as data sharing, cloning, and performance optimization. By the end of this Snowflake book, you will be well-versed in Snowflake's architecture for building modern analytical solutions and understand best practices for solving commonly faced problems using practical recipes.
Table of Contents (12 chapters)

Combining the concept of streams and tasks to build pipelines that process changed data on a schedule

In this recipe, we will combine the concept of streams and tasks and set up a scheduled Snowflake data pipeline that processes only changed data into a target table.

How to do it…

The following steps describe how to set up a stream to track and process changes that occur on table data. The steps are as follows:

  1. Let's start by creating a database and a staging table on which we will create our stream object. We will be creating a staging table to simulate data arriving from outside Snowflake and being processed further through a stream object:
    CREATE DATABASE stream_demo;
    USE DATABASE stream_demo;
    CREATE TABLE customer_staging
    (
      ID INTEGER,
      Name STRING,
      State STRING,
      Country STRING
    );
  2. Next, create a stream on the table that captures only the inserts. The insert-only mode is achieved by setting APPEND_ONLY to...