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Product typeBook
Published inMar 2024
PublisherPackt
ISBN-139781805120780
Edition1st Edition
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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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Exploring different methods available for sharing data

One of the challenges most companies face is deciding on a data-sharing best practice that standardizes one standard technique to share data. However, while discussing the challenges of data sharing in a data mesh, we realized that there are multiple ways of sharing data. Let us spend some time organizing all these data-sharing techniques and the different components and layers involved in their implementation. This will help in aligning the different methods to different data-sharing scenarios.

In-place access

As discussed in the What is in-place sharing? section, in-place sharing provides direct access to the data from the code that needs to process that data.

As an example, let’s assume a file called data.csv is stored in a data lake of a European finance data product in a company, as shown in Figure 13.5.

Figure 13.5 – data.csv file location

Figure 13.5 – data.csv file location

An executive dashboard team in...

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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