Snowflake Cookbook: Techniques for building modern cloud data warehousing solutions

Techniques to develop solutions using Snowflake’s unique architecture and integration capabilities, process bulk and real-time data into a data lake, and utilize time travel, cloning, and data-sharing features to your advantage.

Key Features

• Build and scale modern data solutions using the all-in-one Snowflake platform
• Perform advanced cloud analytics for implementing big data and data science solutions
• Make quicker and better-informed business decisions by uncovering key insights from your data

Book Description

Snowflake is a unique cloud-based data warehousing platform built from scratch to tackle data management on Cloud. This book introduces Snowflake’s unique architecture, which places it at the forefront of cloud data warehouses. We will explore the compute model available with Snowflake and how Snowflake allows extensive scaling through the virtual warehouses. You will learn how to configure a virtual warehouse for optimizing cost and performance. You will explore 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 with Snowflake’s architecture for building modern analytical solutions and understand best practices for solving commonly faced problems using practical recipes.

What you will learn

• Data warehousing techniques aligned with Snowflake’s Cloud architecture
• Broaden skills for data warehouse designers to cover Snowflake ecosystem and tooling
• Transfer skills from on-premise data warehousing to Snowflake Cloud analytics platform
• Optimize performance and costs associated with a Snowflake solution
• Stage data on object stores and load into Snowflake
• Securing data and sharing it efficiently for access in a controlled manner
• Managing transactions and extending Snowflake using Stored Procedures
• Extending Cloud data applications using Spark Connector for Snowflake

Who This Book Is For

This book is intended for data warehouse developers, data analysts, database administrators, and anyone involved in designing, implementing, and optimizing a Snowflake data warehouse. Knowledge of data warehousing and database and cloud concepts will be useful. Basic familiarity with Snowflake is beneficial but not necessary.