The correct answer is: A. Google distributed filesystem.
HDFS (Hadoop Distributed File System) is a distributed file system designed to run on commodity hardware. It is designed to be fault-tolerant and scalable. HDFS is used in Hadoop, a distributed processing framework for large data sets.
HDFS was originally developed by Doug Cutting and Sanjay Ghemawat at Google. It was inspired by Google File System (GFS), another distributed file system developed at Google.
HDFS is a block-based file system. Files are broken up into blocks, which are then stored on different nodes in the cluster. Each block is replicated multiple times, which helps to ensure data availability in the event of a node failure.
HDFS is a key component of Hadoop. It provides a reliable and scalable storage system for Hadoop applications.
Here is a brief explanation of each option:
- A. Google distributed filesystem: HDFS was originally developed by Doug Cutting and Sanjay Ghemawat at Google. It was inspired by Google File System (GFS), another distributed file system developed at Google.
- B. Yahoo distributed filesystem: Yahoo does not have a distributed file system called “Yahoo distributed filesystem”.
- C. Facebook distributed filesystem: Facebook does not have a distributed file system called “Facebook distributed filesystem”.
- D. Amazon S3 storage: Amazon S3 is a cloud storage service that provides object storage. It is not a distributed file system.