Azure Data Fundamentals: Choosing the Right Data Store for Low-Latency Retrieval

Optimizing Data Retrieval: Choosing the Right Data Store for Low Latency

Question

Your company is designing a database that will contain session data for a website. The data will include notifications, personalization attributes, and products that are added to a shopping cart.

Which type of data store will provide the lowest latency to retrieve the data?

Answers

Explanations

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A. B. C. D.

C

https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/analytical-data-stores

For the given scenario, the data store that provides the lowest latency to retrieve the data would be the key/value data store, which is designed for fast access and retrieval of data based on a unique identifier or key.

Key/value data stores are a type of NoSQL database that stores data in a simple key-value pair format, where each piece of data is identified by a unique key. They are optimized for read-heavy workloads and have high availability and scalability. In a key/value data store, the data is usually stored in memory or in SSDs for faster access.

In the given scenario, the session data for the website can be stored in a key/value data store with the session ID as the key and the data related to the session (such as notifications, personalization attributes, and products in the shopping cart) as the value. This would enable fast retrieval of session data using the session ID as the key.

Graph databases are designed for handling complex relationships between data entities, and are not optimized for fast retrieval of individual pieces of data. Columnar and document databases are designed for storing and querying structured and semi-structured data respectively, and may not provide the same level of performance for unstructured data such as session data.

Therefore, the key/value data store would be the most appropriate choice for providing the lowest latency to retrieve session data in the given scenario.