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You're reading from  Engineering Data Mesh in Azure Cloud

Product typeBook
Published inMar 2024
PublisherPackt
ISBN-139781805120780
Edition1st Edition
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Author (1)
Aniruddha Deswandikar
Aniruddha Deswandikar
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Aniruddha Deswandikar

Aniruddha Deswandikar holds a Bachelor's degree in Computer Engineering and is a seasoned Solutions Architect with over 30 years of industry experience as a developer, architect and technology strategist. His experience spans from start-ups to dotcoms to large enterprises. He has spent 18 years at Microsoft helping Microsoft customers build their next generation Applications and Data Analytics platforms. His experience across Application, Data and AI has helped him provide holistic guidance to companies large and small. Currently he is helping global enterprises set up their Enterprise-scale Analytical system using the Data Mesh Architecture. He is a Subject Matter Expert on Data Mesh in Microsoft and is currently helping multiple Microsoft Global Customers implement the Data Mesh architecture.
Read more about Aniruddha Deswandikar

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To get the most out of this book

While having read the original data mesh materials by Zhamak Dehghani would definitely be an advantage, it’s not a must. This book provides documentation references for all the Microsoft Azure services mentioned, but some working knowledge of Microsoft Azure will help you save time reading the docs.

Software/hardware covered in the book

Operating system requirements

Microsoft Azure

  • Azure SQL Database
  • Azure Synapse
  • Azure Data Lake Gen2
  • Microsoft Purview
  • Microsoft Active Directory
  • Azure Resource Manager
  • Azure Log Analytics Workspace
  • Azure Data Explorer

NA

Great Expectations

Windows or Linux with Python 3.8 to 3.11

Profisee

Deployed using Azure Marketplace

PowerShell, Azure Command Line Interface

Windows

Python 3.8 to 3.11

Windows 11 or Ubuntu 22.04

SQL Server Management Studio

Windows 10 or Windows 11

For installation and setup of the preceding tools and platforms, please see the following references:

Note that the format of Chapters 14, 15, 16, and 17 is different from those of the previous chapters. That is because these chapters are architectural references. The aim of these chapters is to provide guidance on how to set up analytics for a given workload. You might also observe portions of text being repeated across those chapters. This is also by design. At a later point, you might want to refer to a specific reference chapter directly. In order to make sure you have everything you need in those four chapters, we repeat some of the text in them. Each reference chapter is designed to be a quick read and lets you explore all the components of the architecture using the reference links provided.

If you are using the digital version of this book, we advise you to type the code yourself. Doing so will help you avoid any potential errors related to the copying and pasting of code.

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Engineering Data Mesh in Azure Cloud
Published in: Mar 2024Publisher: PacktISBN-13: 9781805120780

Author (1)

author image
Aniruddha Deswandikar

Aniruddha Deswandikar holds a Bachelor's degree in Computer Engineering and is a seasoned Solutions Architect with over 30 years of industry experience as a developer, architect and technology strategist. His experience spans from start-ups to dotcoms to large enterprises. He has spent 18 years at Microsoft helping Microsoft customers build their next generation Applications and Data Analytics platforms. His experience across Application, Data and AI has helped him provide holistic guidance to companies large and small. Currently he is helping global enterprises set up their Enterprise-scale Analytical system using the Data Mesh Architecture. He is a Subject Matter Expert on Data Mesh in Microsoft and is currently helping multiple Microsoft Global Customers implement the Data Mesh architecture.
Read more about Aniruddha Deswandikar