The Study of Application and Evaluation with NoSQL Databases in Cloud Computing

2014 ◽  
Author(s):  
Tse-Chuan Hsu ◽  
Dong-Meau Chang ◽  
Hsin-Jan Lee
Keyword(s):  
Cloud Computing ◽  
Nosql Databases

NoSQL Databases

2014 ◽  
pp. 186-215 ◽  
Author(s):  
Ganesh Chandra Deka
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Processing ◽  
Open Source ◽  
Data Storage ◽  
Big Data Processing ◽  
Nosql Databases ◽  
Data Intensive ◽  
Huge Data ◽  
Data Intensive Applications

NoSQL databases are designed to meet the huge data storage requirements of cloud computing and big data processing. NoSQL databases have lots of advanced features in addition to the conventional RDBMS features. Hence, the “NoSQL” databases are popularly known as “Not only SQL” databases. A variety of NoSQL databases having different features to deal with exponentially growing data-intensive applications are available with open source and proprietary option. This chapter discusses some of the popular NoSQL databases and their features on the light of CAP theorem.

scholarly journals Security Analysis of MongoDB

2020 ◽  
Author(s):  
Sahib Singh
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Relational Databases ◽  
Security Analysis ◽  
Nosql Databases ◽  
Computing Platforms

NoSQL Databases are a form of non-relational databases whose primary purpose is to store and retrieve data. Due to recent advancements in cloud computing platforms and the emergence of Big Data, NoSQL Databases are more becoming popular than ever. In this paper we are going to understand and analyze the fundamental security features and the vulnerabilities of MongoDB and how it performs compared to relational databases on these fronts.

Cloud Database Security Issues and Challenges

2019 ◽  
pp. 165-187 ◽  
Author(s):  
Ganesh Chandra Deka
Keyword(s):  
Cloud Computing ◽  
Database Security ◽  
Security Requirements ◽  
Markup Language ◽  
Organizational Boundaries ◽  
Nosql Databases ◽  
Security Issues ◽  
Cloud Database ◽  
It Enterprise

To get the desired benefits for the IT enterprise, NoSQL databases must be combined with proven and reliable SQL features into a single proven infrastructure meeting the manageability and security requirements of cloud computing. Various specifications, including SAML (Security Assertions Markup Language), improved interoperability across organizational boundaries are coming up. This chapter discuses some of the security issues of NoSQL databases. All the related technology used in the chapter are explained either where they appear or at the end of the chapter.

NoSQL Databases

2015 ◽  
pp. 109-152 ◽  
Author(s):  
Mainak Adhikari ◽  
Sukhendu Kar
Keyword(s):  
Cloud Computing ◽  
Social Networking ◽  
Data Storage ◽  
Social Networking Sites ◽  
Nosql Databases ◽  
Data Intensive ◽  
Huge Data ◽  
Nosql Database ◽  
Real Time Applications ◽  
Data Intensive Applications

NoSQL database provides a mechanism for storage and access of data across multiple storage clusters. NoSQL dabases are finding significant and growing industry to meet the huge data storage requirements of Big data, real time applications, and Cloud Computing. NoSQL databases have lots of advantages over the conventional RDBMS features. NoSQL systems are also referred to as “Not only SQL” to emphasize that they may in fact allow Structured language like SQL, and additionally, they allow Semi Structured as well as Unstructured language. A variety of NoSQL databases having different features to deal with exponentially growing data intensive applications are available with open source and proprietary option mostly prompted and used by social networking sites. This chapter discusses some features and challenges of NoSQL databases and some of the popular NoSQL databases with their features on the light of CAP theorem.

An Empirical Study of NoSQL Databases for Big Data

2016 ◽  
pp. 60-76
Author(s):  
Wen-Chen Hu ◽  
Naima Kaabouch ◽  
Hongyu Guo ◽  
Hung-Jen Yang
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Empirical Study ◽  
Theoretical Approach ◽  
Relational Databases ◽  
High Volume ◽  
Inventory Systems ◽  
Nosql Databases ◽  
Nosql Database ◽  
The One

Relational databases have dominated the database markets for decades because they perform extremely well for traditional applications like electronic commerce and inventory systems. However, the relational databases do not suit some of the contemporary applications such as big data and cloud computing well because of various reasons like their low scalability and unable to handle a high volume of data. NoSQL (not only SQL) databases are part of the solution for developing those newer applications. The approach they use is different from the one used by relational databases. This chapter discusses NoSQL databases by using an empirical instead of theoretical approach. Other than introducing the types and features of generic NoSQL databases, practical NoSQL database programming and usage are shown by using MongoDB, a NoSQL database. A summary of this research is given at the end of this chapter.

Cloud Database Security Issues and Challenges

2015 ◽  
pp. 153-173
Author(s):  
Ganesh Chandra Deka
Keyword(s):  
Cloud Computing ◽  
Database Security ◽  
Security Requirements ◽  
Markup Language ◽  
Organizational Boundaries ◽  
Nosql Databases ◽  
Security Issues ◽  
Cloud Database ◽  
It Enterprise

To get the desired benefits for the IT enterprise, NoSQL databases must be combined with proven and reliable SQL features into a single proven infrastructure meeting the manageability and security requirements of cloud computing. Various specifications, including SAML (Security Assertions Markup Language), improved interoperability across organizational boundaries are coming up. This chapter discuses some of the security issues of NoSQL databases. All the related technology used in the chapter are explained either where they appear or at the end of the chapter.

Evaluation of NoSQL Databases

2020 ◽  
Vol 12 (4) ◽  
pp. 71-91
Author(s):  
Houcine Matallah ◽  
Ghalem Belalem ◽  
Karim Bouamrane
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Comparative Study ◽  
New Technologies ◽  
Nosql Databases ◽  
New Locations ◽  
Access To Data

The explosion of the data quantities, which reflects the scaling of volumes, numbers, and types, has resulted in the development of new locations techniques and access to data. The final steps in this evolution have emerged new technologies: cloud computing and big data. The new requirements and the difficulties encountered in the management of data classified “big data” have emerged NoSQL and NewSQL systems. This paper develops a comparative study about the performance of six solutions NoSQL, employed by the important companies in the IT sector: MongoDB, Cassandra, HBase, Redis, Couchbase, and OrientDB. To compare the performance of these NoSQL systems, the authors will use a very powerful tool called YCSB: Yahoo! Cloud Serving Benchmark. The contribution is to provide some answers to choose the appropriate NoSQL system for the type of data used and the type of processing performed on that data.

Comparative Study Between the MySQL Relational Database and the MongoDB NoSQL Database

2021 ◽  
Vol 13 (3) ◽  
pp. 38-63
Author(s):  
Houcine Matallah ◽  
Ghalem Belalem ◽  
Karim Bouamrane
Keyword(s):  
Social Networks ◽  
Cloud Computing ◽  
Comparative Study ◽  
Electronic Commerce ◽  
Relational Database ◽  
Relational Databases ◽  
Database Management System ◽  
Nosql Databases ◽  
Nosql Database ◽  
Change Of Scale

NoSQL databases are new architectures developed to remedy the various weaknesses that have affected relational databases in highly distributed systems such as cloud computing, social networks, electronic commerce. Several companies loyal to traditional relational SQL databases for several decades seek to switch to the new “NoSQL” databases to meet the new requirements related to the change of scale in data volumetry, the load increases, the diversity of types of data handled, and geographic distribution. This paper develops a comparative study in which the authors will evaluate the performance of two databases very widespread in the field: MySQL as a relational database and MongoDB as a NoSQL database. To accomplish this confrontation, this research uses the Yahoo! Cloud Serving Benchmark (YCSB). This contribution is to provide some answers to choose the appropriate database management system for the type of data used and the type of processing performed on that data.

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