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Snowflake Cookbook

Snowflake Cookbook

By : Hamid Mahmood Qureshi, Hammad Sharif
4.2 (17)
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Snowflake Cookbook

Snowflake Cookbook

4.2 (17)
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)
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Making sense of JSON semi-structured data and transforming to a relational view

This recipe walks you through the process of loading JSON data into a Snowflake table and transforming it into a relational form that can then be further processed.

Getting ready

Since our objective is to demonstrate the processing of data in JSON format, we will not describe the process of creating stages and external data from cloud storage as that has been covered in previous recipes. For simplicity, we have made available a sample JSON file in a public cloud bucket that we will read and process. The JSON sample data is shown in the screenshot that follows. The data consists of two fields called data_set and extract_date and an array of objects called credit_cards. We are going to convert this data into columns and rows so that it can be processed in a relational manner:

Figure 3.14 – Sample JSON data

The JSON sample file can be found at https://github.com/PacktPublishing...

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