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Mastering Snowflake Solutions - by  Adam Morton (Paperback) - 1 of 1

Mastering Snowflake Solutions - by Adam Morton (Paperback)

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About this item

Highlights

  • 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.
  • About the Author: ​Adam Morton is a senior data and analytics professional with almost two decades of experience.
  • 225 Pages
  • Computers + Internet,

Description



Book Synopsis



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 customersusing 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.



From the Back Cover



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 fromSnowpipe
  • Break down data silos to gain complete visibility your business-critical processes
  • Transform customer experience and product quality through real-time analytics



About the Author



Adam Morton is a senior data and analytics professional with almost two decades of experience. He has architected, designed, and led the implementation of numerous data warehouse and business intelligence solutions. Adam has extensive experience and certifications across several data analytics platforms ranging from Microsoft SQL Server, Teradata, and Hortonworks, to modern cloud-based tools such as AWS Redshift, Google Big Query, and Snowflake.
Having successfully combined his experience with traditional technologies with his knowledge of modern platforms, Adam has accumulated substantial practical expertise in data warehousing and analytics in Snowflake, which he has captured and distilled into this book. Today, Adam runs his own data and analytics consultancy which focuses on helping companies solve problems with data, along with designing and executing modern data strategies to deliver tangible business value. Adam currently lives in Sydney, Australia and is the proud recipient of a Global Talent Visa.
Dimensions (Overall): 10.0 Inches (H) x 7.0 Inches (W) x .53 Inches (D)
Weight: .98 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 225
Genre: Computers + Internet
Publisher: Apress
Format: Paperback
Author: Adam Morton
Language: English
Street Date: February 28, 2022
TCIN: 1011991095
UPC: 9781484280287
Item Number (DPCI): 247-22-8383
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.53 inches length x 7 inches width x 10 inches height
Estimated ship weight: 0.98 pounds
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Q: How does the book help with data ingestion?

submitted by AI Shopping Assistant - 3 days ago
  • A: It demonstrates how to ingest high volumes of structured and unstructured data for business intelligence analysis.

    submitted byAI Shopping Assistant - 3 days ago
    Ai generated

Q: What security features does the book discuss?

submitted by AI Shopping Assistant - 3 days ago
  • A: It discusses end-to-end encryption for data at rest and in transit to protect valuable data assets.

    submitted byAI Shopping Assistant - 3 days ago
    Ai generated

Q: What topics are covered in this book about Snowflake?

submitted by AI Shopping Assistant - 3 days ago
  • A: The book covers query processing, data security, data sharing, and performance optimization in Snowflake.

    submitted byAI Shopping Assistant - 3 days ago
    Ai generated

Q: What is the author's background in data analytics?

submitted by AI Shopping Assistant - 3 days ago
  • A: Adam Morton has nearly two decades of experience in data analytics and has led numerous data warehouse implementations.

    submitted byAI Shopping Assistant - 3 days ago
    Ai generated

Q: Who is the target audience for this book?

submitted by AI Shopping Assistant - 3 days ago
  • A: The book is aimed at data engineers, scientists, and architects with some experience in Snowflake or relational databases.

    submitted byAI Shopping Assistant - 3 days ago
    Ai generated

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