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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/interactions

  1. Data from documents, NoSQL databases, and transactional databases are pulled using Azure Data Factory and stored in an Azure Storage account.
  2. Any change to the Azure Storage triggers an event that runs an Azure Function App.
  3. The Azure Function App calls various processing APIs, such as translation and chunking, before calling the embedding model to convert it into a vector. These vectors are then stored in an Azure Redis Cache vector database.
  4. Semantic Kernel interacts with and runs queries on the Azure Redis Cache vector database and searches for content with semantic similarity. Semantic Kernel can also use Azure Redis Cache to store chat history for context and memory:
    1. Semantic Kernel also interacts with other plugins, such as Bing search, ChatGPT, or content filters.
  5. The chatbot user interface, which is hosted on Azure App Service, calls Semantic Kernel with queries that have been submitted by the user and returns the response.
  6. The...
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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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