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Jumpstart Snowflake: A Step-by-Step Guide to Modern Cloud Analytics
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.Ìý 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
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.Ìý 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
- GenresTechnology
291 pages, Kindle Edition
Published December 20, 2019
21 people are currently reading
22 people want to read
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Displaying 1 - 4 of 4 reviews
October 1, 2021
Very basic and most of the information will stale very fast hence I don't really see the point to describe it the author should have focused more on concepts and principles rather than technicalities. I would not recommend to spend time with it the official SF youtube channel will give you a better overview than this book.
[EN-Kindle]
[EN-Kindle]
November 9, 2020
This is like an aws white paper. Took a few hours to read. Snowball is easy to use but aws is vast so you need to know the terms.
December 31, 2020
Useful but not essential
Quite a quick read that covers the basics.
Helpful for those new to cloud based data tools, i.e. to get you started.
Quite a quick read that covers the basics.
Helpful for those new to cloud based data tools, i.e. to get you started.
October 29, 2022
below expectation. too much focus on "how", too few focus on why and principles - which I was expecting.
Displaying 1 - 4 of 4 reviews
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