Azure Data and AI Architect Handbook: Adopt a structured approach to designing data and AI solutions at scale on Microsoft Azure

Master core data architecture design concepts and Azure Data & AI services to gain a cloud data and AI architect’s perspective to developing end-to-end solutions
Purchase of the print or Kindle book includes a free PDF eBook

Key Features

• Translate and implement conceptual architectures with the right Azure services
• Inject artificial intelligence into data solutions for advanced analytics
• Leverage cloud computing and frameworks to drive data science workloads

Book Description

With data’s growing importance in businesses, the need for cloud data and AI architects has never been higher. The Azure Data and AI Architect Handbook is designed to assist any data professional or academic looking to advance their cloud data platform designing skills. This book will help you understand all the individual components of an end-to-end data architecture and how to piece them together into a scalable and robust solution.
You’ll begin by getting to grips with core data architecture design concepts and Azure Data & AI services, before exploring cloud landing zones and best practices for building up an enterprise-scale data platform from scratch. Next, you’ll take a deep dive into various data domains such as data engineering, business intelligence, data science, and data governance. As you advance, you’ll cover topics ranging from learning different methods of ingesting data into the cloud to designing the right data warehousing solution, managing large-scale data transformations, extracting valuable insights, and learning how to leverage cloud computing to drive advanced analytical workloads. Finally, you’ll discover how to add data governance, compliance, and security to solutions.
By the end of this book, you’ll have gained the expertise needed to become a well-rounded Azure Data & AI architect.

What you will learn

• Design scalable and cost-effective cloud data platforms on Microsoft Azure
• Explore architectural design patterns with various use cases
• Determine the right data stores and data warehouse solutions
• Discover best practices for data orchestration and transformation
• Help end users to visualize data using interactive dashboarding
• Leverage OpenAI and custom ML models for advanced analytics
• Manage security, compliance, and governance for the data estate

Who this book is for

This book is for anyone looking to elevate their skill set to the level of an architect. Data engineers, data scientists, business intelligence developers, and database administrators who want to learn how to design end-to-end data solutions and get a bird’s-eye view of the entire data platform will find this book useful. Although not required, basic knowledge of databases and data engineering workloads is recommended.

掌握核心的資料架構設計概念和 Azure Data & AI 服務，以獲得雲端資料和 AI 架構師的視角，開發端到端解決方案。
購買印刷版或 Kindle 版本的書籍將包含免費的 PDF 電子書。

主要特點：

- 使用適當的 Azure 服務來翻譯和實施概念架構。
- 將人工智慧注入資料解決方案以進行高級分析。
- 利用雲端計算和框架來推動資料科學工作負載。

書籍描述：

隨著資料在企業中的重要性不斷增加，對雲端資料和 AI 架構師的需求也前所未有地高。《Azure Data and AI Architect Handbook》旨在幫助任何想要提升其雲端資料平台設計技能的資料專業人士或學術人員。本書將幫助您了解端到端資料架構的所有組件，以及如何將它們組合成可擴展和強大的解決方案。
您將首先瞭解核心的資料架構設計概念和 Azure Data & AI 服務，然後探索雲端登陸區和從頭開始建立企業級資料平台的最佳實踐。接下來，您將深入研究各種資料領域，如資料工程、商業智能、資料科學和資料治理。隨著您的進一步學習，您將涵蓋從學習不同的將資料載入雲端的方法到設計正確的資料倉儲解決方案，管理大規模資料轉換，提取有價值的洞察，以及學習如何利用雲端計算來推動高級分析工作負載。最後，您將了解如何為解決方案添加資料治理、合規性和安全性。
通過閱讀本書，您將獲得成為全面發展的 Azure Data & AI 架構師所需的專業知識。

您將學到什麼：

- 在 Microsoft Azure 上設計可擴展且具有成本效益的雲端資料平台。
- 探索具有各種使用案例的架構設計模式。
- 確定適合的資料存儲和資料倉儲解決方案。
- 發現資料編排和轉換的最佳實踐。
- 幫助最終用戶使用互動式儀表板來視覺化資料。
- 利用 OpenAI 和自定義機器學習模型進行高級分析。
- 管理資料資產的安全性、合規性和治理。

本書適合對象：

本書適合任何希望將其技能提升到架構師水平的人士。資料工程師、資料科學家、商業智能開發人員和資料庫管理員希望學習如何設計端到端資料解決方案並獲得整個資料平台的全局視圖，將會發現本書非常有用。雖然不是必需的，但建議具備基本的資料庫和資料工程工作負載知識。

1. Introduction to Data Architectures
2. Preparing for Cloud Adoption
3. Ingesting Data into the Cloud
4. Transforming Data on Azure
5. Storing Data for Consumption
6. Data Warehousing
7. The Semantic Layer
8. Visualizing Data Using Power BI
9. Advanced Analytics Using AI
10. Enterprise-Level Data Governance and Compliance
11. Introduction to Data Security

- 數據架構介紹
- 為雲端採用做準備
- 將數據載入雲端
- 在 Azure 上轉換數據
- 儲存數據以供使用
- 數據倉儲
- 語義層
- 使用 Power BI 視覺化數據
- 使用人工智慧進行高級分析
- 企業級數據治理和合規性
- 數據安全介紹