The language used to develop the Hadoop framework is **Java**.

Hadoop is an open-source framework that allows for distributed processing of large data sets across clusters of computers. It is designed to be scalable, fault-tolerant, and capable of handling massive amounts of data. Java was chosen for its robustness, security features, and cross-platform capabilities, making it ideal for a framework that intends to work on various operating systems and hardware configurations.

Furthermore, Java's object-oriented principles enable developers to create modular components that can be reused and easily maintained. While there are other languages like Python and Ruby that can be used with Hadoop for data processing and analysis due to their popular libraries and community support, the core development and implementation of the Hadoop functionality are primarily done in Java.

### Final Answer
**Java**

Question

The language used to develop the Hadoop framework is **Java**.

Hadoop is an open-source framework that allows for distributed processing of large data sets across clusters of computers. It is designed to be scalable, fault-tolerant, and capable of handling massive amounts of data. Java was chosen for its robustness, security features, and cross-platform capabilities, making it ideal for a framework that intends to work on various operating systems and hardware configurations.

Furthermore, Java's object-oriented principles enable developers to create modular components that can be reused and easily maintained. While there are other languages like Python and Ruby that can be used with Hadoop for data processing and analysis due to their popular libraries and community support, the core development and implementation of the Hadoop functionality are primarily done in Java.

### Final Answer
**Java**

Knowee AI · Accepted Answer

The language used to develop the Hadoop framework is **Java**.

Hadoop is an open-source framework that allows for distributed processing of large data sets across clusters of computers. It is designed to be scalable, fault-tolerant, and capable of handling massive amounts of data. Java was chosen for its robustness, security features, and cross-platform capabilities, making it ideal for a framework that intends to work on various operating systems and hardware configurations.

Furthermore, Java's object-oriented principles enable developers to create modular components that can be reused and easily maintained. While there are other languages like Python and Ruby that can be used with Hadoop for data processing and analysis due to their popular libraries and community support, the core development and implementation of the Hadoop functionality are primarily done in Java.

### Final Answer
**Java**

Question 10Which is the language used to develop the Hadoop framework?1 pointRubyC++JavaPython

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