scholarly journals Overview of Modern Nosql Database Management Systems. Case Study: Apache Cassandra

2018 ◽  
Vol 9 (1) ◽  
pp. 83-86
Author(s):  
Katalin Ferencz
Keyword(s):  
Open Source ◽  
Database Management ◽  
Query Language ◽  
Distributed Database ◽  
Database Management Systems ◽  
Sensor Data ◽  
Management Systems ◽  
Database Server ◽  
Server Software ◽  
Iot Devices

Abstract The wide spread of IoT devices makes possible the collection of enormous amounts of sensor data. Traditional SQL (structured query language) database management systems are not the most appropriate for storing this type of data. For this task, distributed database management systems are the most adequate. Apache Cassandra is an open source, distributed database server software that stores large amounts of data on low-coast servers, providing high availability. The Cassandra uses the gossip protocol to exchange information between the distributed servers. The query language used is the CQL (Cassandra Query Language). In this paper we present an alternative solution to traditional SQL-based database management systems - the so called NoSQL type database management systems, summarize the main types of these systems and provide a detailed description of the Apache Cassandra open source distributed database server installation, configuration and operation.

Trends in Improving Performances in Distributed Database Management Systems

2010 ◽  
pp. 396-422
Author(s):  
Ismail Omar Hababeh ◽  
Muthu Ramachandran
Keyword(s):  
Database Management ◽  
Real Life ◽  
Distributed Database ◽  
Database Management Systems ◽  
Database Management System ◽  
Management Systems ◽  
Data Allocation ◽  
Performance Improvements ◽  
Integrated Method ◽  
Distributed Database Management

Database technology has been a significant field to work in for developing real life applications in network information systems. An enterprise’s reliance on its network and database applications in Distributed Database Management systems (DDBMS) environment is likely to continue growing exponentially. In such a system the estimation and prediction of Quality of Service (QoS) performance improvements are crucial since it increases understanding the issues that affect the distributed database networking system behaviour; like database fragmentation, clustering database network sites, and data allocation and replication that would reduce the amount of irrelevant data and speed up the transactions response time. This chapter introduces the trends of database management systems DBMS and presents an integrated method for designing Distributed Relational networking Database Management System DRDBMS that efficiently and effectively achieves the objectives of database fragmentation, clustering database network sites, and fragments allocation and replication. It is based on high speed partitioning, clustering, and data allocation techniques that minimize the data fragments accessed and data transferred through the network sites, maximize the overall system throughput by increasing the degree of concurrent transactions processing of multiple fragments located in different sites, and result in better QoS design and decision support.

Querying Multimedia Data by Similarity in Relational DBMS

2011 ◽  
pp. 323-359 ◽  
Author(s):  
Maria Camila Nardini Barioni ◽  
Daniel dos Santos Kaster ◽  
Humberto Luiz Razente ◽  
Agma J.M. Traina ◽  
Caetano Traina Júnior
Keyword(s):  
Database Management ◽  
Query Language ◽  
Database Management Systems ◽  
Multimedia Data ◽  
Management Systems ◽  
Similarity Queries ◽  
Similarity Operators

Multimedia objects – such as images, audio, and video – do not present the total ordering relationship, so the relational operators (‘<’, ‘=’, ‘=’, ‘>’) are not suitable to compare them. Therefore, similarity queries are the most useful, and often the only types of queries adequate to search multimedia objects stored in a database. Unfortunately, the ubiquitous query language SQL – the most widely employed language in Database Management Systems (DBMS) – does not provide effective support for similarity queries. This chapter presents an already validated strategy that adds similarity queries to SQL, supporting a powerful set of similarity operators. The chapter also describes techniques to store and retrieve multimedia objects in an efficient way and shows existing DBMS alternatives to execute similarity queries over multimedia data.

Open Source Database Management Systems

2005 ◽  
pp. 457-462 ◽  
Author(s):  
Sulayman K. Sowe ◽  
Ioannis Samoladas ◽  
Ioannis Stamelos
Keyword(s):  
Software Development ◽  
Open Source ◽  
Open Source Software ◽  
Database Management ◽  
Database Management Systems ◽  
Management Systems ◽  
Free Open Source Software ◽  
Source Database ◽  
1960S And 1970S ◽  
Free Open Source

This article discusses open source database management systems (OSDBMS) trends from two broad perspectives. First, the software engineering discipline platform on which databases are built has recently witnessed a new form of software development—Free/Open Source Software Development (F/OSSD). Methodically, the F/OSSD paradigm has changed the way relational databases, initiated in the 1960s and 1970s, are developed, distributed, supported, and maintained. Second, commercial relational database management systems (RDBMS) still dominate the database market because, on one hand, vendors and users are skeptical of the boon of applications developed and distributed under the F/OSSD paradigm, and on the other hand, it has been argued that OSDBMS are not likely to follow the successful trend of other robust Free/Open Source Software (F/OSS) systems (Linux, Apache, etc.). This article presents trends in OSDBMS by looking at the morphology and landscape of the type of applications developed by the F/OSS community. Implementation of F/OSS strategies and factors mitigating the adoption and utilization of OSDBMS are explored by looking at the interactions between the F/OSSD process and database firms, vendors, and users.

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