The correct answer is: D. all of the above
HDFS (Hadoop Distributed File System) is a distributed file system designed to store large amounts of data across commodity servers. It is a key component of the Hadoop ecosystem, which is a set of open-source software tools for processing and storing large datasets.
HDFS is a master-slave architecture, with a single NameNode and multiple DataNodes. The NameNode is responsible for managing the file system namespace and metadata, while the DataNodes are responsible for storing the actual data.
HDFS is designed to be fault-tolerant and scalable. It can be used to store any type of data, including structured, semi-structured, and unstructured data.
HDFS is a powerful tool for storing and processing large datasets. It is used by a wide range of organizations, including Google, Facebook, and Yahoo.
Here is a brief explanation of each option:
- Storage layer: HDFS is a distributed file system, which means that it stores data across multiple servers. This makes it ideal for storing large amounts of data.
- Batch processing engine: HDFS can be used to process large amounts of data in batches. This is useful for tasks such as data mining and machine learning.
- Resource management layer: HDFS can be used to manage resources such as CPU, memory, and storage. This is useful for tasks such as scheduling jobs and monitoring performance.