Hadoop Distributed File System

What is the Hadoop Distributed File System (HDFS)?

Definition and meaning of Hadoop Distributed File System

The Hadoop Distributed File System (HDFS) is a allotted report Device that runs on wellknown or low-stop Hardware. Developed by Apache Hadoop, HDFS works like a widespread disbursed report machine however gives higher Data Throughput and get entry to via the MapReduce set of rules, high Fault Tolerance and local guide of big facts sets.

What Does Hadoop Distributed File System Mean?

The HDFS shops a huge aMount of inFormation positioned across a couple of machines, normally in hundreds and lots of simultaneously related Nodes, and gives facts reliability through replicating each information Instance as 3 distinctive copies – in a single organization and one in any other. These copies may be cHanged within the occasion of Failure.

The HDFS architecture consists of clusters, every of that's Accessed thru a single NameNode Software Program device established on a separate sySTEM to display and control the that cluster’s File device and consumer access mechanism. The different machines set up one example of DataNode to control cluster garage.

Because HDFS is written in Java, it has local help for Java utility Programming Interfaces (API) for Application Integration and Accessibility. It also may be accessed via preferred Web Browsers.

What does HDFS stand for?

When we refer to HDFS as an acronym of Hadoop Distributed File System, we mean that HDFS is formed by taking the initial letters of each significant word in Hadoop Distributed File System. This process condenses the original phrase into a shorter, more manageable form while retaining its essential meaning. According to this definition, HDFS stands for Hadoop Distributed File System.

Let's improve Hadoop Distributed File System term definition knowledge

If you have a better way to define the term "Hadoop Distributed File System" or any additional information that could enhance this page, please share your thoughts with us.
We're always looking to improve and update our content. Your insights could help us provide a more accurate and comprehensive understanding of Hadoop Distributed File System.
Whether it's definition, Functional context or any other relevant details, your contribution would be greatly appreciated.
Thank you for helping us make this page better!