Investigation and Analysis of Data Duplication in Distributed Database

The growing popularity of big data analysis and cloud computing has created new big data management standards. Sometimes, programmers may interact with a number of heterogeneous data repositories, depending on the information they are responsible for. Until now, relational databases were an optimal choice for the organization. However, with the continuous growth of stored and analyzed data, relational databases show various limitations. For example: scalability and storage limitations, and loss of query performance due to large volumes of data, and storage and management of larger databases are challenging. In order to overcome these limitations, a new database model with a set of new features, called NoSQL databases, was developed. Non-relational databases emerged as an advanced technology and can be used alone or as a complement to relational databases. One of the important challenges in this field, which has a significant impact on the efficiency of such systems, is the reproduction of data. The replication factor affects data availability, which can be related to read time and ultimately execution time. There are many types of NoSQL with different functionality, so it is important to compare them in terms of performance and to examine how performance relates to the type of database. In this article, we evaluate three popular NoSQL databases: Cassandra, HBase, MongoDB, and a review of replication algorithms for various distributed storage and content management systems, including distributed database management systems, and analysis and review and replication of data in Mongodb, Hbase, and Cassandra will be. It is an attempt to analyze the performance of several distributed systems using repetition factors and evaluate them for different data and influence its improvement by comparison. The replication factor is used in distributed database systems in order to increase performance and availability. Also, replication increases scalability in database systems. In this regard, each distributed NoSQL database system carries out its own policies in order to select the type and number of replications.