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Role of Data Bricks within Solution - Lab 4: Add AI to your Big Data Pipeline with Cognitive Services #14

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Josh-BI-UK opened this issue Nov 10, 2020 · 2 comments

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@Josh-BI-UK
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Josh-BI-UK commented Nov 10, 2020

Hi @fabragaMS,

What an amazing set of labs you have created. Absolutely super valuable. In my efforts to learn how to become a better Azure Analytics Solutions Architecture I had a few questions about your chosen architecture.

In Lab 4: Add AI to your Big Data Pipeline with Cognitive Services: We use Data Bricks as the platform to call an Azure Computer Vision API.

Link to lab: https://github.com/fabragaMS/ADPE2E/blob/master/Lab/Lab4/Lab4.md

  1. Why have you chosen to use Data Bricks to provide that aspect of the solution?

  2. What role would you say Data Bricks is serving within your solution design?

  3. Is there other options which could be used (within the Azure eco-system) which perform the same role as Data Bricks for this particular use case?

  4. Within the “Create Data Bricks Linked Service in Azure Data Factory” section of the lab we use Data Factory to run our Data Bricks applet/workspace, which calls the Compute Vision service.

Does that mean the Data Bricks cluster which provide the compute for this aspect must be active indefinitely (or at least as long as we need to use the solution we are implementing)? [link to section within lab: https://github.com/fabragaMS/ADPE2E/blob/master/Lab/Lab4/Lab4.md#create-databricks-linked-service-in-azure-data-factory ]

@fabragaMS
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fabragaMS commented Nov 10, 2020 via email

@Josh-BI-UK
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Fab thank you. Very clear.

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