Thank you for reaching out on Microsoft Q&A forum.
To your query: Which storage option is recommended: Blob Storage or Data Lake Storage? Access time is not a concern, as the data will only be used during classifier training and validation runs for storing 5 TB of medical image data and CSV files in Azure.
Azure Blob Storage :
Its more general-purpose solution that offers different access tiers (Hot, Cool, cold and Archive), which can help optimize costs based on how frequently you plan to access your data. If you're looking for storage primarily for archiving this data and you don't need to access it frequently, the Cool ,cold or Archive tiers will be cost-effective.
Azure Data Lake Storage:
Its not a dedicated service or account type. Instead, it's implemented as a set of capabilities that you use with the Blob Storage service of your Azure Storage account. It's helps to store massive amounts of data in any format, and to facilitate big data analytical workloads.
Cost efficiency: Azure Blob Storage tends to be less expensive per TB stored compared to Azure Data Lake Storage, mainly when considering storage tiers. I am sharing the pricing tiers links of both the storage type, according to your convenient & usability you can choose which fits you better.
https://azure.microsoft.com/en-gb/pricing/details/storage/blobs/
https://azure.microsoft.com/en-gb/pricing/details/storage/data-lake/
So,With both options, you can implement data lifecycle management policies to automate moving data between different access tiers based on your usage. This can significantly manage long-term storage costs effectively.
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