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Azure Data and AI Architect Handbook

Azure Data and AI Architect Handbook

By : Olivier Mertens, Breght Van Baelen
4.5 (13)
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Azure Data and AI Architect Handbook

Azure Data and AI Architect Handbook

4.5 (13)
By: Olivier Mertens, Breght Van Baelen

Overview of this book

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.
Table of Contents (18 chapters)
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1
Part 1: Introduction to Azure Data Architect
4
Part 2: Data Engineering on Azure
8
Part 3: Data Warehousing and Analytics
13
Part 4: Data Security, Governance, and Compliance

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

access control 229

internal data access, restricting 232, 233

RBAC 229-231

SAS 231

access tiers 42

Archive tier 42

Cold tier 42

example 43

Hot tier 42

ACID transactions 56

Ada model 191

ADF data flows 68

ADLS, for raw data ingestion 39

access tiers 42

Azure File storage 40

Azure Queue storage 40

Azure storage accounts 39

Azure Table storage 41

BLOB storage 39, 40

data lakes 43, 44

data lake tiers 45, 46

redundancy 41, 42

ADLS Gen2 service 41

advanced analytics 11

Advanced Encryption Standard (AES) 228

Advanced Message Queuing Protocol 1.0 (AMQP 1.0) 57

advanced threat protection (ATP) 241

aggregation 117

AI architectures, on Azure 202

data, scoring in batches 203

real-time data stream, scoring with...

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