Apache Hadoop has gained popularity in the storage, management, and processing of large amounts of data because it can handle large volumes of highly structured data.
file server architecture
Apache Hadoop has gained popularity in the storage, management, and processing of large amounts of data because it can handle large volumes of highly structured data. However, Hadoop cannot handle random high-speed writing and reading and cannot change files without completely rewriting. HBase is a column-based NoSQL Hadoop database that overcomes the shortcomings of HDFS by enabling fast arbitrary writing and reading in an optimized way. In addition, relational databases with exponentially growing data cannot handle various data for better performance. HBase architecture offers scalability and separation for efficient storage and retrieval.
