Unclear statement on storage accounts Microsoft Learning

brenda okach 20 Reputation points
2024-09-04T11:43:42.7833333+00:00

Under structure data there is this description that I'm finding hard to understand. 'Structured data is stored in a relational format that has a shared schema. Structured data is often contained in a database table with rows, columns, and keys. Tables are an autoscaling NoSQL store.' What do you mean by tables are an autoscaling NoSQL store?

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Azure Training
Azure Training
Azure: A cloud computing platform and infrastructure for building, deploying and managing applications and services through a worldwide network of Microsoft-managed datacenters.Training: Instruction to develop new skills.
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  1. VarunTha 8,395 Reputation points Microsoft Vendor
    2024-09-04T16:13:13.17+00:00

    Hi brenda okach,
    Thank you for reaching out to us regarding the statement on storage accounts in the Microsoft Learning module. We're happy to help clarify the concept for you.

    The statement "Tables are an autoscaling NoSQL store" is actually a key benefit of using Azure Table Storage, and it's great that you're taking the time to understand it thoroughly.

    In the context of structured data, Microsoft is highlighting the flexibility and scalability of Azure Table Storage. While traditional relational databases are ideal for structured data, Azure Table Storage offers a unique advantage when it comes to storing large amounts of semi-structured data.

    The term "tables" in this context refers to a specific type of NoSQL data store, designed to handle massive amounts of data efficiently. The "autoscaling" feature ensures that the storage capacity adjusts automatically to meet the changing needs of your application, without requiring manual intervention.

    Microsoft's module is emphasizing the value of using Azure Table Storage for scenarios that require high scalability and flexibility. By using this service, you can take advantage of a highly performant and cost-effective solution for storing and querying large amounts of data.

    We hope this explanation helps clarify the concept for you. If you have any further questions or concerns, please don't hesitate to reach out.

    If the information is helpful, please Accept Answer so that it would be helpful to community members.


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