Relational Database for Structured Data Storage

Correct Answer: A

Based on the type of data such as unstructured, semi-structured, or structured, data is stored differently.

Structured data is generally stored in a relational database like SQL Server or Azure SQL Database.

Option A is correct.

Relational databases like SQL Server or Azure SQL Database store structured data.

Option B is incorrect.

Unstructured data is generally stored in NoSQL databases.

Option C is incorrect.

Relational databases like SQL Server or Azure SQL Database store structured data.

Option D is incorrect.

JSON format is not the right answer.

Option E is incorrect.

Structured data is the correct answer.

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The correct answer is A. Structured data.

Structured data refers to data that is organized in a specific format, such as tables with rows and columns, and can be easily queried using standard database queries. Examples of structured data include customer information, financial transactions, and inventory data.

Relational databases, like SQL Server or Azure SQL Database, are designed to store and manage structured data efficiently. They use a schema to define the structure of the data, which makes it easier to query and analyze. Structured data is typically stored in tables, with each row representing a single record, and each column representing a specific attribute or piece of information about the record.

Unstructured data, on the other hand, does not have a predefined structure and can take many forms, such as text documents, images, audio files, or video files. Unstructured data is often more difficult to analyze and manage than structured data.

Semi-structured data falls somewhere between structured and unstructured data. It has some organization or structure, but it doesn't fit neatly into a traditional relational database format. Examples of semi-structured data include XML files and JSON data.

JSON (JavaScript Object Notation) and ORC (Optimized Row Columnar) format are file formats for storing data, but they are not types of data. JSON is a lightweight data interchange format that is commonly used for web APIs, while ORC is a columnar storage format optimized for Hadoop-based data processing systems.