What are the functions included in Hadoop?

Hadoop includes the following features:

1. Distributed storage: Hadoop uses the Hadoop Distributed File System (HDFS) to store large amounts of data. It disperses data across multiple nodes to achieve high reliability and scalability.
2. Distributed computing: Hadoop utilizes the MapReduce programming model for distributed computing. It divides large amounts of data into smaller chunks and processes these data blocks in parallel across multiple nodes to achieve fast calculations.
3. Fault tolerance: Hadoop has the ability to tolerate faults, meaning it can still perform computations and store data even in cases of node failure.
4. Scalability: Hadoop can easily expand to thousands of servers to handle large-scale data.
5. Data replication: Hadoop replicates data between different nodes to achieve high reliability and redundant backups.
6. Data locality: Hadoop distributes computation tasks to nodes that are close to the storage of data in order to reduce data transfer costs and improve computational efficiency.
7. Resource Management: Hadoop has the capability to automatically manage and allocate computing resources to ensure that tasks can run efficiently within the cluster.
8. Scalability: Hadoop can easily add more nodes as needed to expand computing and storage capacity.
9. Diverse data processing: Hadoop has the capability to handle both structured and unstructured data, such as text, images, videos, logs, and other data types.
10. Hadoop has a rich ecosystem that includes a variety of tools and frameworks for different applications such as data processing, data analysis, and machine learning.