Snowflake Recipes: A Problem-Solution Approach to Implementing Modern Data Pipelines

Dayton, Dillon, Eipe, John

Snowflake Recipes: A Problem-Solution Approach to Implementing Modern Data Pipelines
  • 出版商: Apress
  • 出版日期: 2025-01-04
  • 售價: $2,210
  • 貴賓價: 9.5 折 $2,100
  • 語言: 英文
  • 頁數: 390
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798868809378
  • ISBN-13: 9798868809378

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商品描述

Explore Snowflake's core concepts and unique features that differentiates it from industry competitors, such as, Azure Synapse and Google BigQuery. This book provides recipes for architecting and developing modern data pipelines on the Snowflake data platform by employing progressive techniques, agile practices, and repeatable strategies.

You'll walk through step-by-step instructions on ready-to-use recipes covering a wide range of the latest development topics. Then build scalable development pipelines and solve specific scenarios common to all modern data platforms, such as, data masking, object tagging, data monetization, and security best practices. Throughout the book you'll work with code samples for Amazon Web Services, Microsoft Azure, and Google Cloud Platform. There's also a chapter devoted to solving machine learning problems with Snowflake.

Authors Dillon Dayton and John Eipe are both Snowflake SnowPro Core certified, specializing in data and digital services, and understand the challenges of finding the right solution to complex problems. The recipes in this book are based on real world use cases and examples designed to help you provide quality, performant, and secured data to solve business initiatives.

What You'll Learn

  • Handle structured and un- structured data in Snowflake.
  • Apply best practices and different options for data transformation.
  • Understand data application development.
  • Implement data sharing, data governance and security.

Who This book Is For

Data engineers, scientists and analysts moving into Snowflake, looking to build data apps. This book expects basic knowledge in Cloud (AWS or Azure or GCP), SQL and Python

商品描述(中文翻譯)

探索 Snowflake 的核心概念和獨特特徵，這些特徵使其與行業競爭對手如 Azure Synapse 和 Google BigQuery 区分开来。本書提供了在 Snowflake 數據平台上架構和開發現代數據管道的食譜，採用進步技術、敏捷實踐和可重複的策略。

您將逐步學習可立即使用的食譜，涵蓋最新的開發主題。然後，構建可擴展的開發管道，解決所有現代數據平台常見的特定場景，例如數據掩碼、對象標記、數據貨幣化和安全最佳實踐。在整本書中，您將使用 Amazon Web Services、Microsoft Azure 和 Google Cloud Platform 的代碼範例。還有一章專門用於解決與 Snowflake 相關的機器學習問題。

作者 Dillon Dayton 和 John Eipe 均為 Snowflake SnowPro Core 認證專家，專注於數據和數位服務，並了解尋找解決複雜問題的正確方案所面臨的挑戰。本書中的食譜基於現實世界的使用案例和範例，旨在幫助您提供高品質、高效能和安全的數據，以解決業務需求。

您將學到的內容：
- 在 Snowflake 中處理結構化和非結構化數據。
- 應用最佳實踐和不同的數據轉換選項。
- 理解數據應用開發。
- 實施數據共享、數據治理和安全性。

本書適合對象：
數據工程師、科學家和分析師，正在轉向 Snowflake，尋求構建數據應用。本書預期讀者具備基本的雲端知識（AWS、Azure 或 GCP）、SQL 和 Python。

作者簡介

Dillon Dayton is a senior consultant for CDW. Over the last 10 years he has performed in a data engineering and architect role with numerous companies across a slew of industries including healthcare, retail, and finance. Dillon is Snowflake SnowPro Core certified and participates in the Snowflake SME program. In his spare time, he enjoys applying his data and engineering background to hobbies like motorsports, gardening, and fishing.

John Eipe is a Senior Solutions Specialist for CDW and has over 10 years of experience in various roles from enterprise application development to data engineering. He worked primarily with customers from the ecommerce and insurance domain. John is Snowflake SnowPro Core certified and has been working extensively on Snowflake in the recent years. Apart from work, he enjoys cooking and time with his kids.

作者簡介(中文翻譯)

Dillon Dayton 是 CDW 的資深顧問。在過去的 10 年中，他在多家公司的數據工程和架構角色中工作，涵蓋了包括醫療保健、零售和金融等多個行業。Dillon 擁有 Snowflake SnowPro Core 認證，並參與 Snowflake SME 計畫。在空閒時間，他喜歡將自己的數據和工程背景應用於摩托運動、園藝和釣魚等興趣上。

John Eipe 是 CDW 的資深解決方案專家，擁有超過 10 年的經驗，涵蓋從企業應用開發到數據工程的各種角色。他主要與電子商務和保險領域的客戶合作。John 擁有 Snowflake SnowPro Core 認證，並在近年來廣泛使用 Snowflake。除了工作，他喜歡烹飪和與孩子們共度時光。

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