Modern Data Architecture on AWS: A Practical Guide for Building Next-Gen Data Platforms on AWS

Discover all the essential design and architectural patterns in one place to help you rapidly build and deploy your modern data platform using AWS services

Key Features:

• Learn to build modern data platforms on AWS using data lakes and purpose-built data services
• Uncover methods of applying security and governance across your data platform built on AWS
• Find out how to operationalize and optimize your data platform on AWS
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description:

Many IT leaders and professionals are adept at extracting data from a particular type of database and deriving value from it. However, designing and implementing an enterprise-wide holistic data platform with purpose-built data services, all seamlessly working in tandem with the least amount of manual intervention, still poses a challenge.

This book will help you explore end-to-end solutions to common data, analytics, and AI/ML use cases by leveraging AWS services. The chapters systematically take you through all the building blocks of a modern data platform, including data lakes, data warehouses, data ingestion patterns, data consumption patterns, data governance, and AI/ML patterns. Using real-world use cases, each chapter highlights the features and functionalities of numerous AWS services to enable you to create a scalable, flexible, performant, and cost-effective modern data platform.

By the end of this book, you'll be equipped with all the necessary architectural patterns and be able to apply this knowledge to efficiently build a modern data platform for your organization using AWS services.

What You Will Learn:

• Familiarize yourself with the building blocks of modern data architecture on AWS
• Discover how to create an end-to-end data platform on AWS
• Design data architectures for your own use cases using AWS services
• Ingest data from disparate sources into target data stores on AWS
• Build data pipelines, data sharing mechanisms, and data consumption patterns using AWS services
• Find out how to implement data governance using AWS services

Who this book is for:

This book is for data architects, data engineers, and professionals involved in building data platforms. The use case-driven approach taken in this book will help you conceptualize possible solutions to specific use cases, while also providing you with design patterns to build data platforms for any organization. Technical leaders and decision makers will also benefit from this book by gaining a perspective of what the overall data architecture looks like for their organization and how each component of the platform helps with their business needs.

在一個地方發現所有必要的設計和架構模式，以幫助您快速建立和部署使用AWS服務的現代數據平台。

主要特點：
- 學習使用數據湖和專用數據服務在AWS上構建現代數據平台
- 揭示在AWS上構建的數據平台中應用安全性和治理的方法
- 了解如何在AWS上操作和優化數據平台
- 購買印刷版或Kindle書籍包括免費的PDF電子書

書籍描述：
許多IT領導者和專業人士擅長從特定類型的數據庫中提取數據並從中獲得價值。然而，設計和實施一個企業級的整體數據平台，並使用專用數據服務，所有這些服務無縫地協同工作，並且最少需要手動干預，仍然是一個挑戰。

本書將幫助您通過利用AWS服務，探索解決常見數據、分析和AI/ML用例的端到端解決方案。每一章系統地介紹了現代數據平台的所有構建塊，包括數據湖、數據倉庫、數據輸入模式、數據消費模式、數據治理和AI/ML模式。通過使用真實世界的用例，每一章突出了眾多AWS服務的功能和功能，使您能夠創建一個可擴展、靈活、高效且具有成本效益的現代數據平台。

通過閱讀本書，您將掌握所有必要的架構模式，並能夠將這些知識應用於使用AWS服務為您的組織高效建立現代數據平台。

您將學到什麼：
- 熟悉AWS上現代數據架構的構建塊
- 發現如何在AWS上創建端到端數據平台
- 使用AWS服務為自己的用例設計數據架構
- 將數據從不同來源輸入到AWS上的目標數據存儲中
- 使用AWS服務構建數據管道、數據共享機制和數據消費模式
- 找出如何使用AWS服務實施數據治理

本書適合對建立數據平台感興趣的數據架構師、數據工程師和專業人士。本書以用例驅動的方法，幫助您構思特定用例的可能解決方案，同時為任何組織構建數據平台提供設計模式。技術領導者和決策者也將從本書中受益，瞭解其組織的整體數據架構以及平台的每個組件如何滿足其業務需求。