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Hadoop Distributed File system(HDFS) T he Hadoop Distributed File System (HDFS) is the primary storage system used by the Apache Hadoop framework for storing large datasets across a distributed computing environment. It is designed to handle large-scale data processing across many machines, providing high throughput, fault tolerance, and scalability. HDFS is optimized for large files (typically several gigabytes or terabytes in size) and is ideal for batch processing workloads th at require processing of huge datasets in parallel. Features of HDFS 1. Distributed Storage : • HDFS stores data across multiple nodes in a Hadoop cluster, distributing files into blocks and storing these blocks across several machines. This helps to ensure scalability and reliability. 2. ...
Google File System (GFS) : It is a distributed file system developed by Google to handle large-scale data processing applications that involve massive amounts of data. It is designed to provide high availability, fault tolerance, scalability, and reliability, even when running on inexpensive, commodity hardware. GFS is the foundational storage system for many of Google's applications, particularly for indexing web data, processing big data, and supporting cloud services like Google Search and Google Maps. Features of Google File System (GFS) 1. Scalability : • GFS is built to scale horizontally, allowing it to support a large number of machines (nodes) and handle petabytes of data efficiently. 2. Fault Tolerance : • GFS ensures data reliability by replicating data across multiple nodes. Even if some nodes or hardware components fail, the system can still function and recover lost data. 3. Distributed Archit...
Enterprise Data Storage Enterprise data storage in cloud computing is a way for businesses to store their data on remote servers hosted by cloud providers like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud. Instead of keeping data on local computers or physical storage devices (like hard drives) at the office, the data is stored in a data center provided by these companies. Remote Storage : Businesses use the internet to store and access their data in the cloud, which is a collection of remote servers located in large data centers. Scalability : The cloud lets companies store as much data as they need, without worrying about running out of space. They can increase or decrease storage as needed. Cost-Effective : Businesses pay only for the storage they use, saving on the cost of buying and maintaining physical hardware. Accessibility : Data stored in the cloud can be accessed from anywhere, at any time, by author...