DATABASE FUNDAMENTALS
BASICS OF BIG DATA
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Facebook distributed filesystem
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Yahoo distributed filesystem
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Azure distributed filesystem
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Google distributed filesystem
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Detailed explanation-1: -HDFS is an Open source component of the Apache Software Foundation that manages data. HDFS has scalability, availability, and replication as key features. Name nodes, secondary name nodes, data nodes, checkpoint nodes, backup nodes, and blocks all make up the architecture of HDFS.
Detailed explanation-2: -HDFS employs a NameNode and DataNode architecture to implement a distributed file system that provides high-performance access to data across highly scalable Hadoop clusters. Hadoop itself is an open source distributed processing framework that manages data processing and storage for big data applications.
Detailed explanation-3: -HDFS is a distributed file system that handles large data sets running on commodity hardware. It is used to scale a single Apache Hadoop cluster to hundreds (and even thousands) of nodes.
Detailed explanation-4: -HDFS divides files into blocks and stores each block on a DataNode. Multiple DataNodes are linked to the cluster. The NameNode then distributes replicas of these data blocks across the cluster. It also instructs the user or application where to locate wanted information.