Andrew Carruthers - Building the Snowflake Data Cloud: Monetizing and Democratizing Your Data
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- Book:Building the Snowflake Data Cloud: Monetizing and Democratizing Your Data
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Building the Snowflake Data Cloud: Monetizing and Democratizing Your Data: summary, description and annotation
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Building the Snowflake Data Cloud helps you transform your organization into monetizing the value locked up within your data. As the digital economy takes hold, with data volume, velocity, and variety growing at exponential rates, you need tools and techniques to quickly categorize, collate, summarize, and aggregate data. You also need the means to seamlessly distribute to release value. This book shows how Snowflake provides all these things and how to use them to your advantage.
The book helps you succeed by delivering faster than you can deliver with legacy products and techniques. You will learn how to leverage what you already know, and what you dont, all applied in a Snowflake Data Cloud context. After reading this book, you will discover and embrace the future where the Data Cloud is central. You will be able to position your organization to take advantage by identifying, adopting, and preparing your tooling for the coming wave of opportunity around sharing and monetizing valuable, corporate data.
What You Will Learn
- Understand why Data Cloud is important to the success of your organization
- Up-skill and adopt Snowflake, leveraging the benefits of cloud platforms
- Articulate the Snowflake Marketplace and identify opportunities to monetize data
- Identify tools and techniques to accelerate integration with Data Cloud
- Manage data consumption by monitoring and controlling access to datasets
- Develop data load and transform capabilities for use in future projects
Who This Book Is For
Solution architects seeking implementation patterns to integrate with a Data Cloud; data warehouse developers looking for tips, tools, and techniques to rapidly deliver data pipelines; sales managers who want to monetize their datasets and understand the opportunities that Data Cloud presents; and anyone who wishes to unlock value contained within their data silos
Andrew Carruthers: author's other books
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The Apress logo.
This Apress imprint is published by the registered company APress Media, LLC, part of Springer Nature.
The registered company address is: 1 New York Plaza, New York, NY 10004, U.S.A.
To Esther, Verity, and Diane
Any source code or other supplementary material referenced by the author in this book is available to readers on GitHub.
Thanks are not enough to the Apress team for the opportunity to deliver this bookspecifically, to Jonathan Gennick. I hope my 0.01% contribution remains worth your investment. This book is all the richer for your patient guidance, help, and assistance. Mike Gangler, you have enriched this work more than you know while teaching me American grammar and spelling. As George Bernard Shaw said: Two people separated by a common language. Jill Balzano, thank you for your project management. Who knew writing a book would be so easy? And those unknown to meeditors, reviewers, and production staff, please take a bow. You are the unsung heroes who make things happen.
To my friends at Snowflake who patiently showed me the art of the possible, who first encouraged, advised, and guided, then became friends, mentors, and partners. Jonathan Nicholson, Andy McCann, Will Riley, Cillian Bane, and James Huntquite a journey we have been on, and in no small part, this book is possible only because of your steadfast support. I owe you all a beer or three!
To my colleagues at London Stock Exchange Group who had the vision and foresight to investigate Snowflake, Mike Newton, this is for you. Also, step forward my inspiring colleaguesNitin Rane, Srinivas Venkata, Matt Willis, Dhiraj Saxena, Gowthami Bandla, Arabella Peake, and Sahir Ahmed. You all played a bigger part in this book than you know, and I will be forever grateful to you all.
To my daughters, Esther and Verity, who knew Dad would write something like this! And finally, to Diane, you were there every day throughout the six months this book took to write. You have the patience of a saint and are more lovely than I can say.
A photo of Andrew Carruthers.
Andrew has almost 30 years of hands-on relational database design, development, and implementation experience, starting with Oracle in 1993. Before joining the London Stock Exchange Group, Andrew operated as an independent IT consultant. His experience has been gained through predominantly working at major European financial institutions. Andrew is considered a thought leader within his domain with a tight focus on delivery. Successfully bridging the gap between Snowflakes technological capability and business usage of technology, Andrew often develops proof of concepts to showcase benefits leading to successful business outcomes.
Since 2020 Andrew has immersed himself in Snowflake. He is considered a subject matter expert, recently becoming CorePro certified, contributing to online forums, and speaking at Snowflake events on behalf of the London Stock Exchange Group. In recognition of his contribution to implementing Snowflake at the London Stock Exchange Group, Andrew recently received the Snowflake Data Hero of the Year award. This category recognizes a technology trailblazer who has pioneered the data cloud in their organization.
Andrew has two daughters, 19 and 21, both elite figure skaters. He has a passion for Jaguar cars, having both designed and implemented modifications, and has published articles for Jaguar Enthusiast Magazine and The Jaguar Drivers Club. Andrew enjoys 3D printing and has a mechanical engineering workshop with a lathe, milling machine, and TIG welder, to name a few tools, and he enjoys developing his workshop skills.
A photo of Mike Gangler.
The Snowflake Data Cloud is a means by which data can be shared and consumed in near real time by willing participants across geographical bordersseamlessly and securely. Snowflake offers solutions to consume, reformat, categorize, and publish a wide variety of data formats and leverage siloed legacy data sets while opening new market opportunities to monetize data assets.
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