Data
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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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Data flow

  1. Clickstream data is sent to Azure Event Hub.
  2. IoT data is sent to Azure IoT Hub.
  3. Azure Event Hub and Azure IoT Hub push data to Azure Stream Analytics. Azure Stream Analytics processes the data for simple patterns and threshold values.
  4. Azure Data Explorer can pull data from Stream Analytics for time series analysis. Azure Data Explorer can also pull data directly from Event Hubs and/or IoT Hub.
  5. Azure Machine Learning can use data from Azure Data Explorer to build machine learning models. These models can stored as binary files in blob storage or a Data Explorer database and can be executed in Data Explorer to perform real-time inferencing.
  6. After analysis, data can be pushed to Cosmos DB. Cosmos DB provides high-performance storage for documents.
  7. Cosmos DB data can be consumed by mobile applications, websites, or other marketing or analytical applications.
  8. Power BI can build real-time dashboards from Stream Analytics.

This architecture...

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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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