Design for large-scale, high-performance queries using Snowflake's query
processing engine to empower data consumers with timely, comprehensive,
and secure access to data. This book also helps you protect your most
valuable data assets using built-in security features such as end-to-end
encryption for data at rest and in transit. It demonstrates key features
in Snowflake and shows how to exploit those features to deliver a
personalized experience to your customers. It also shows how to ingest
the high volumes of both structured and unstructured data that are
needed for game-changing business intelligence analysis. **
Mastering Snowflake Solutions** starts with a refresher on Snowflake's
unique architecture before getting into the advanced concepts that make
Snowflake the market-leading product it is today. Progressing through
each chapter, you will learn how to leverage storage, query processing,
cloning, data sharing, and continuous data protection features. This
approach allows for greater operational agility in responding to the
needs of modern enterprises, for example in supporting agile development
techniques via database cloning. The practical examples and in-depth
background on theory in this book help you unleash the power of
Snowflake in building a high-performance system with little to no
administrative overhead. Your result from reading will be a deep
understanding of Snowflake that enables taking full advantage of
Snowflake's architecture to deliver value analytics insight to your
business.
What You Will Learn
-
Optimize performance and costs associated with your use of the
Snowflake data platform
-
Enable data security to help in complying with consumer privacy
regulations such as CCPA and GDPR
-
Share data securely both inside your organization and with external
partners
-
Gain visibility to each interaction with your customers using
continuous data feeds from Snowpipe
-
Break down data silos to gain complete visibility your
business-critical processes
-
Transform customer experience and product quality through real-time
analytics
Who This Book Is for
Data engineers, scientists, and architects who have had some exposure to
the Snowflake data platform or bring some experience from working with
another relational database. This book is for those beginning to
struggle with new challenges as their Snowflake environment begins to
mature, becoming more complex with ever increasing amounts of data,
users, and requirements. New problems require a new approach and this
book aims to arm you with the practical knowledge required to take
advantage of Snowflake's unique architecture to get the results you
need.
