You have been assigned the task to manage the storage of consumers profiles and Sales data.A general request is to create a list of “the top 100 consumers including name, account number and sales around for a specific time period” or “who are the consumers within a particular geographic region?” Is Azure Blob storage a recommended choice for this data?
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A. B.Correct Answer: B
Blob is not a recommended choice for structured data that needs to be queried regularly.
Blobs have higher latency than memory and local disk and also do not have the indexing feature that increases the databases' efficiency at running queries.
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Azure Blob Storage is a cloud-based object storage solution designed to store massive amounts of unstructured data. It can handle data of any type, such as text and binary data, images, audio, and video. It offers high availability, durability, and scalability to store large volumes of data at a low cost.
However, Azure Blob Storage is not the most suitable solution for storing structured data, such as consumer profiles and sales data, that require complex queries and analysis. Blob storage is a simple storage mechanism without advanced indexing, querying, or transaction support. In other words, Blob storage is a great choice when you have a vast amount of unstructured data to store, but not for structured data.
In the given scenario, the consumer profiles and sales data are structured data that require querying and analysis, such as finding the top 100 consumers or consumers within a particular geographic region. To perform such tasks, it is recommended to use a structured data store, such as Azure SQL Database, Azure Cosmos DB, or Azure Synapse Analytics. These data stores offer advanced indexing, querying, and analysis capabilities that are more suitable for structured data.
Therefore, the answer is B. No, Azure Blob Storage is not a recommended choice for storing consumer profiles and sales data that require complex querying and analysis. A structured data store such as Azure SQL Database or Azure Cosmos DB would be more suitable for this purpose.