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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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Components

In Figure 15.1, starting from left to right, let’s look at each component and understand their functionality/attributes.

Source data

Source data can be semi-structured data such as web logs in JSON or comma-separated files or structured data from sales, marketing, and inventory databases.

Azure Synapse pipelines

Azure Synapse pipelines function the same as Azure Data Factory, except that they are integrated into Synapse Studio. This allows data engineers and data scientists to share the same workspace for preprocessing and analyzing the data. Azure Synapse pipelines will ingest the semi-structured logs and structured data from company databases into the data lake. They have the same number of connectors as Azure Data Factory to connect to different data sources. For more information on Azure Synapse, please refer to the following links:

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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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