Azure Data Fundamentals: Understanding the Flexible Schema of Non-Relational Data Stores

Flexible Schema in Non-Relational Data Stores

Question

Which type of non-relational data store supports a flexible schema, stores data as JSON files, and stores the all the data for an entity in the same document?

Answers

Explanations

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A. B. C. D.

A

The correct answer is A. document.

A document-oriented database is a type of non-relational (NoSQL) database that stores and retrieves data as JSON-like documents. In this model, the data is not stored in tables with fixed schemas as in a relational database, but as self-contained documents with dynamic and flexible schemas.

Each document contains all the data for a particular entity or object, and it can have different fields and structures than other documents in the same collection. Documents are typically indexed by a unique identifier, which allows for fast retrieval of individual documents.

Document-oriented databases are particularly well-suited for applications that require flexible, schema-less data storage, such as content management systems, social networks, and e-commerce sites. Some popular document-oriented databases include MongoDB, Couchbase, and Amazon DocumentDB.

Columnar databases store data in columns rather than rows, which can be more efficient for data analytics and reporting. Graph databases are designed for managing interconnected data and relationships, and are often used for social networks, recommendation engines, and fraud detection systems. Time series databases are optimized for handling large amounts of time-stamped data, such as sensor readings, stock prices, and web logs.