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Azure Data and AI Architect Handbook
Azure Data and AI Architect Handbook

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

By Olivier Mertens , Breght Van Baelen
R$222.99 R$80.00
Book Jul 2023 284 pages 1st Edition
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eBook
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Print
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Free Trial

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Product Details


Publication date : Jul 31, 2023
Length 284 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781803234861
Category :
Concepts :
Table of content icon View table of contents Preview book icon Preview Book

Azure Data and AI Architect Handbook

Part 1: Introduction to Azure Data Architect

This part mainly focuses on business and data strategy alignment, the economic and technical benefits of using the cloud for data, and making the first preparations for moving data to the cloud.

This part has the following chapters:

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Key benefits

  • 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

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

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon AI Assistant (beta) to help accelerate your learning
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : Jul 31, 2023
Length 284 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781803234861
Category :
Concepts :

Table of Contents

18 Chapters
Preface Chevron down icon Chevron up icon
1. Part 1: Introduction to Azure Data Architect Chevron down icon Chevron up icon
2. Chapter 1: Introduction to Data Architectures Chevron down icon Chevron up icon
3. Chapter 2: Preparing for Cloud Adoption Chevron down icon Chevron up icon
4. Part 2: Data Engineering on Azure Chevron down icon Chevron up icon
5. Chapter 3: Ingesting Data into the Cloud Chevron down icon Chevron up icon
6. Chapter 4: Transforming Data on Azure Chevron down icon Chevron up icon
7. Chapter 5: Storing Data for Consumption Chevron down icon Chevron up icon
8. Part 3: Data Warehousing and Analytics Chevron down icon Chevron up icon
9. Chapter 6: Data Warehousing Chevron down icon Chevron up icon
10. Chapter 7: The Semantic Layer Chevron down icon Chevron up icon
11. Chapter 8: Visualizing Data Using Power BI Chevron down icon Chevron up icon
12. Chapter 9: Advanced Analytics Using AI Chevron down icon Chevron up icon
13. Part 4: Data Security, Governance, and Compliance Chevron down icon Chevron up icon
14. Chapter 10: Enterprise-Level Data Governance and Compliance Chevron down icon Chevron up icon
15. Chapter 11: Introduction to Data Security Chevron down icon Chevron up icon
16. Index Chevron down icon Chevron up icon
17. Other Books You May Enjoy Chevron down icon Chevron up icon

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