{"id":258881,"date":"2024-01-31T04:19:07","date_gmt":"2024-01-31T04:19:07","guid":{"rendered":"https:\/\/imarticus.org\/blog\/?p=258881"},"modified":"2024-08-02T19:52:24","modified_gmt":"2024-08-02T19:52:24","slug":"the-hadoop-distributed-file-system-hdfs","status":"publish","type":"post","link":"https:\/\/imarticus.org\/blog\/the-hadoop-distributed-file-system-hdfs\/","title":{"rendered":"The Hadoop Distributed File System (HDFS)"},"content":{"rendered":"
Hadoop Distributed File System (HDFS) is the primary data storage system used by all Hadoop applications. This is an open-source, structured application. HDFS works by facilitating quick data flow between multiple nodes. It is an extremely useful framework, and companies that deal with a huge data pool frequently employ HDFS daily.<\/span><\/p>\n HDFS has grown to become an essential part of the Hadoop system as it supports <\/span>big data<\/span><\/a> and provides a way to manage large data sets. Companies are using HDFS globally as a means to store data since it offers a high degree of credibility and security.<\/span><\/p>\n Read on to learn the fundamentals of the Hadoop Distributed File System<\/strong><\/a> and its importance in building a <\/span>career in data science<\/span>.<\/span><\/p>\n HDFS stands for Hadoop Distributed File System, and as the name suggests, it functions as a distributed file system for most of the commodity hardware. It is designed in a way that helps companies store and manage large amounts of data conveniently. HDFS is exclusively the file system of Hadoop, which offers access to data stored in the Hadoop system, making it a subset of Hadoop.<\/span><\/p>\n HDFS is built and developed to run on cost-effective standard hardware. It is a robust, resilient and dependable application that easily offers streaming access to data files in Hadoop Apache.<\/span><\/p>\n It offers easy access to data applications to the intended users, making it appropriate when dealing with big data sets. One can enroll in a <\/span>data analyst course<\/strong><\/a> to better understand the foundation of and how it benefits businesses.<\/span><\/p>\n HDFS is a very useful tool for global companies, but what makes it so useful can be understood with the help of its unique features that are enumerated below:<\/span><\/p>\n Hadoop Distributed File System is an advantageous proposition for most companies. One can gain a deeper insight into the benefits of HDFS with the help of effective online and offline <\/span>data analytics courses<\/span>.<\/span><\/p>\n The following are the major benefits offered by HDFS:<\/span><\/p>\n Primarily, HDFS was used for ad serving and search engine propositions, but now it has found its uses beyond this scope. Large-scale companies now use it for image conversion, log storage, log processing, machine learning and odds analysis.\u00a0<\/span><\/p>\n Companies in various sectors frequently use HDFS to effectively work with large data sets. Some of them are stated as follows:<\/span><\/p>\n HDFS is a crucial storage mechanism for Hadoop applications that offers data redundancy and allows the Hadoop cluster to be divided into smaller chunks. It is one of the fastest-growing technologies in today's world and a crucial aspect of data science. It is a lucrative career option for data science professionals where one can learn the fundamentals and mechanism of HDFS with the help of a useful <\/span>data analyst course.<\/span><\/p>\n Learn more about Hadoop and HDFS with the <\/span>Postgraduate Programme In Data Science And Analytics<\/span> by Imarticus Learning. This <\/span>data science course<\/strong><\/a> not only teaches the fundamentals of the Hadoop Distributed File System but also its practical applicability. Visit the website to explore more course-related details.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":" Hadoop Distributed File System (HDFS) is the primary data storage system used by all Hadoop applications. This is an open-source,...<\/p>\n","protected":false},"author":1,"featured_media":265527,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[23],"tags":[],"pages":[],"coe":[],"class_list":{"0":"post-258881","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-analytics"},"acf":[],"yoast_head":"\nWhat is Hadoop Distributed File System (HDFS)?<\/span><\/h2>\n
Features of Hadoop Distributed File System\u00a0<\/span><\/h2>\n
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Advantages of Hadoop Distributed File System\u00a0<\/span><\/h2>\n
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HDFS Use Cases<\/span><\/h2>\n
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Conclusion<\/span><\/h4>\n