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You're reading from  Engineering Data Mesh in Azure Cloud

Product typeBook
Published inMar 2024
PublisherPackt
ISBN-139781805120780
Edition1st Edition
Concepts
Data Science
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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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Exploring the evolution of modern data analytics

After the advent of databases in the late 1970s and early 1980s, databases were treated as a central source of truth (SOT) and designed to record transactions and produce daily, weekly, and monthly financial reports. These are largely termed online transaction processing (OLTP) systems.

In the late 1980s, businesses felt the need to understand how their business was performing and investigate any changes to sales, production, revenue, or any other important aspects of the business so that they could run their businesses more efficiently. But in order to conduct this investigation, they had to run complex queries across all tables in their database and be able to slice and dice the data to dig deeper into it. They also had to aggregate values in order to find totals and averages across a period of time. A relational model that spread data across multiple tables was needed to aggregate and join data across these tables. As a result...

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Engineering Data Mesh in Azure Cloud
Published in: Mar 2024Publisher: PacktISBN-13: 9781805120780
© 2024 Packt Publishing Limited All Rights Reserved

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

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