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Explore the modern market of data analytics platforms and the benefits of using Snowflake computing, the data warehouse built for the cloud.

With the rise of cloud technologies, organizations prefer to deploy their analytics using cloud providers such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform. Cloud vendors are offering modern data platforms for building cloud analytics solutions to collect data and consolidate into single storage solutions that provide insights for business users. The core of any analytics framework is the data warehouse, and previously customers did not have many choices of platform to use.

Snowflake was built specifically for the cloud and it is a true game changer for the analytics market. This book will help onboard you to Snowflake, present best practices to deploy, and use the Snowflake data warehouse. In addition, it covers modern analytics architecture and use cases. It provides use cases of integration with leading analytics software such as Matillion ETL, Tableau, and Databricks.  Finally, it covers migration scenarios for on-premise legacy data warehouses.

What You Will Learn

Know the key functionalities of SnowflakeSet up security and access with clusterBulk load data into Snowflake using the COPY commandMigrate from a legacy data warehouse to Snowflakeintegrate the Snowflake data platform with modern business intelligence (BI) and data integration tools

Who This Book Is For

Those working with data warehouse and business intelligence (BI) technologies, and existing and potential Snowflake users

This book is your guide to the modern market of data analytics platforms and the benefits of using Snowflake, the data warehouse built for the cloud. As organizations increasingly rely on modern cloud data platforms, the core of any analytics framework—the data warehouse—is more important than ever. This updated 2nd edition ensures you are ready to make the most of the industry’s leading data warehouse.This book will onboard you to Snowflake and present best practices for deploying and using the Snowflake data warehouse. The book also covers modern analytics architecture, integration with leading analytics software such as Matillion ETL, Tableau, and Databricks, and migration scenarios for on-premises legacy data warehouses.This new edition includes expanded coverage of SnowPark for developing complex data applications, an introduction to managing large datasets with Apache Iceberg tables, and instructions for creating interactive data applications using Streamlit, ensuring readers are equipped with the latest advancements in Snowflake's capabilities. What You Will LearnMaster key functionalities of SnowflakeSet up security and access with clusterBulk load data into Snowflake using the COPY commandMigrate from a legacy data warehouse to SnowflakeIntegrate the Snowflake data platform with modern business intelligence (BI) and data integration toolsManage large datasets with Apache Iceberg TablesImplement continuous data loading with Snowpipe and Dynamic Tables Who This Book Is ForData professionals, business analysts, IT administrators, and existing or potential Snowflake users