WebDAV is a set of extension to HTTP which is used to support editing and uploading files. On most operating system WebDAV shares can be mounted as filesystems, so it is possible to access HDFS as a standard filesystem by exposing HDFS over WebDAV.
WebDAV, which stands for Web Distributed Authoring and Versioning, is not a specific component or feature of Hadoop. Hadoop is an open-source framework for distributed storage and processing of large data sets, primarily using the Hadoop Distributed File System (HDFS) and MapReduce.
WebDAV is a set of extensions to the HTTP (Hypertext Transfer Protocol) that allows users to collaboratively edit and manage files on remote servers. It is typically used for web content authoring and can be implemented on various web servers and storage systems.
In the context of Hadoop, there is no direct association between Hadoop and WebDAV. Hadoop primarily focuses on distributed storage and processing of big data, while WebDAV is more related to collaborative file editing over the web. If you are working with Hadoop, you would typically interact with it using Hadoop’s native APIs, command-line tools, or higher-level frameworks like Apache Hive, Apache Pig, or Apache Spark, rather than WebDAV.