hadoop is a distributed systems infrastructure.

1, hadoop is a distributed systems infrastructure developed by the Apache Foundation.

2, it allows users to develop distributed programs without understanding the underlying details of the distribution, taking full advantage of the power of the cluster for high-speed computing and storage.

3, hadoop's framework of the most core design is HDFS and MapReduce, HDFS provides storage for massive amounts of data, MapReduce provides computation for massive amounts of data.

4, Hadoop can be widely used in big data processing applications thanks to its own natural advantages in data extraction, transformation and loading (ETL).

Hadoop advantages:

1, easy to use: Hadoop's API is simple and easy to use, developers can easily write MapReduce program to achieve distributed computing.

2, low cost: Hadoop is an open source software, free to use, and can run on cheap hardware, reducing the cost of data processing.

3, processing a variety of data types: Hadoop supports processing a variety of data types, including structured data, semi-structured data and unstructured data.

4, high scalability: Hadoop can easily scale up to thousands of servers, supporting petabyte-level data storage and processing.

5, high efficiency: Hadoop uses a distributed computing approach, which can process large amounts of data in parallel and improve the efficiency of data processing.