Cassandra Database Research Paper Example | Topics and Well Written Essays - 2000 words - 1

Cassandra Database - Research Paper ExampleAs of this writing, the paper result address the general information about Cassandra entropybase. Consequently, the paper will further discuss the entropybase based on its data storage, query format, and its query processingCassandra Database is a wide spread pioneer source NoSQL database. The database is best used to manage large quantity of data across many centers of data and cloud. Cassandra database is characterized as a continuous availability, operational simplicity, and linear scalability across various servers without a single failure. Additionally, the database has a powerful data model mandated to offer a maximum flexibility and a rapid rejoinder period. Based on its operation, Cassandra database has an outstanding plan and architecture, meaning that all the nodes are similar. Increasingly, the database offers automatic distribution of data across the nodes participating in a database thud.The database saves the administrat ors and developers the coding process in distrusting the data across the cluster since the data are partitioned in a transparent manner across the nodes. Consequently, the database provides a customized replication that stores spare data across nodes participating the Cassandra ring. Meaning, assuming a node goes down, single, or multiple copies of the data will still be available on other clusters machines. Replication undergoes configuration to lock in across zones of a single data center, multiple data centers, and many cloud zones. The database can be used in supplying linear scalability, meaning that a capacity can added easily finished the addition of new nodes. For instance, two nodes can accommodate 100000 operations in a second, intravenous feeding nodes can accommodate 200000 operations in a second, and eight nodes can handle 400000 operations in a second.The latest version of the database is Cassandra 2.1. The new version has new features such as user-defined types, c ollection indexes, and ameliorate metrics through metrics-core