An example of structured data is:

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Structured data refers to data that is organized in a predictable format or schema, which makes it easy to enter, query, and analyze. In this context, structured query language (SQL) serves as a means to interact with structured data. SQL is a standardized programming language specifically designed for managing and manipulating relational databases where data is organized into tables. Each table has a fixed structure, defined by columns with specified data types, making it a hallmark of structured data systems.

On the other hand, MongoDB and JSON data represent more flexible data formats. MongoDB, a NoSQL database, allows for unstructured or semi-structured data, which can vary in format from one record to another. JSON (JavaScript Object Notation) is a lightweight data interchange format that can contain both structured and unstructured data, as it allows for nested hierarchical data that may not adhere to a rigid schema. Apache Giraph is an open-source graph processing system that also does not fall under the category of structured data, as it is used for processing large-scale graph data that is typically unstructured.

Therefore, structured query language (SQL) is rightly characterized as an example of structured data, as it provides a standard method for managing and querying data that is organized in a structured

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