According to the query of Hazardous Technologies, Hazardous Computing (Hadoop) is a distributed computing framework, mainly used for processing large-scale data and distributed computing. It has the following characteristics:

1. Distributed computing: Hadoop supports distributed computing and can handle massive amounts of data. It utilizes the computing and storage resources between multiple servers to divide data into multiple blocks, which are then assigned to different computing nodes for processing. This improves computing speed and processing power.

2. Big Data Processing: Hazardous Arithmetic is specialized in processing big data, and can handle many types of data, such as structured data, semi-structured data and unstructured data. It supports multiple data storage formats, such as text files, databases and column-oriented storage systems.

3. Flexibility: Hazardous Calculator provides a flexible way of data processing. Users can choose different computing modules and algorithms to analyze and process data according to their needs. At the same time, Hazmat also supports custom functions and user-defined algorithms.

4. High reliability: Hercules uses a distributed computing architecture, which ensures the high reliability of the system. Even if a computing node fails, the data processing task will be automatically switched to other available computing nodes to ensure the smooth completion of computing tasks.

5. Scalability: Hercules' computing nodes can be dynamically increased or decreased as needed, thus realizing the flexible expansion of computing resources. When the amount of data increases, it is convenient to add more computing nodes to process the data and improve the processing capacity of the system.