Hadoop is a Java-based open source programming framework that supports the processing and storage of extremely large data sets in a distributed computing environment. Say no to plagiarism. Get a tailor-made essay on “Why violent video games should not be banned”?Get the original essayHadoop makes it possible to run applications on systems with thousands of commodity hardware nodes and manage thousands of terabytes of data . Its distributed file system facilitates fast data transfer rates between nodes and allows the system to continue operating in the event of a node failure. This approach reduces the risk of catastrophic system failure and unexpected data loss, even if a significant number of nodes become inoperative. Therefore, Hadoop quickly emerged as a foundation for big data processing tasks, such as scientific analysis, business and sales planning, and processing huge volumes of sensor data, including those from sensors of the Internet of Things. Why is it importantKeep in mind: This is just a sample.Get a custom paper from our expert writers now.Get a custom essayAbility to quickly store and process huge amounts of data of any type . With ever-increasing volumes and varieties of data, particularly from social media and the Internet of Things (IoT), this is a key consideration. Hadoop's distributed computing model quickly processes big data. The more compute nodes you use, the more processing power you have. Low cost. The open source framework is free and uses commodity hardware to store large amounts of data. Scalability. You can easily expand your system to handle more data simply by adding nodes. Little administration is required. Flexibility. Unlike traditional relational databases, you don't need to preprocess data before storing it. You can store as much data as you want and decide how to use it later. This includes unstructured data such as text, images and videos.How it worksHow HDFS works is by having a main 'NameNode' and multiple 'data nodes' on a standard hardware cluster. All nodes are usually organized in the same physical rack in the data center. The data is then broken down into distinct “blocks” which are distributed among the different data nodes for storage. The NameNode is the “smart” node of the cluster. It knows exactly which data node contains which blocks and where the data nodes are located in the machine cluster. The NameNode also manages file access, including reads, writes, creations, deletions, and replications of data blocks across different data nodes. The NameNode operates in a “loosely coupled” manner with the data nodes. This means that cluster elements can dynamically adapt to real-time demand for server capacity by adding or subtracting nodes as the system sees fit. Data nodes constantly communicate with the NameNode to see if they need to perform a certain task. Constant communication ensures that the NameNode is informed about the status of each data node at all times. Since the NameNode assigns tasks to individual data nodes, if it realizes that a data node is not functioning properly, it is able to immediately reassign that node's task to a different node containing that same block of data. Data nodes.