Query: Relational database and non relational database

title: Comparison of Distributed Data Transformation and Comparing Query performance In Relational and Non relational Database
abstract: Sufficient data access, data manipulation, and change are operations that are currently a vital issue in the selection of data storage. Nowadays, users want to see the required data in the shortest possible time, and so companies are addressing the accuracy of the primary storage and possibly the transformation process. This article answers the above questions concerning the necessary insert, update, select, and delete operations and perhaps the selection of the appropriate transformation tool. To answer the questions correctly, we designed experiments that work with Hadoop, Spark, and Hive transformation tools that transform data from a MySQL relational database to a non relational MongoDB database. After performing the experiments, we examined, based on the percentage composition, the selection, insertion, update, and deletion of lengths for various attempts, under which conditions it is efficient for us to transform data and use the collected data storage as the primary data storage source.

title: Performance comparison of the most popular relational and non relational database management systems
abstract: Database is an essential part of any software product. With an emphasis on application performance, database efficiency becomes one of the key factors to analyze in the process of technolo

title: A Comparative Study of Relational and Non Relational Database Models in a Web Based Application
abstract: The purpose of this paper is to present a comparative study between relational and non relational database models in a web based application, by executing various operations on both relational and on non relational databases thus highlighting the results obtained during performance comparison tests. The study was based on the implementation of a web based application for population records. For the non relational database, we used MongoDB and for the relational database, we used MSSQL 2014. We will also present the advantages of using a non relational database compared to a relational database integrated in a web based application, which needs to manipulate a big amount of data.

title: A Survey and Comparison of Relational and Non Relational Database
abstract: We report the comparison between the two leading type of Database storage components prevailing in the industry. The Database is largely concerned with managing massive amount of data in a consistent, stable, repeatable and quick manner. The prominent features of both relational as well as non relational databases have been specified which form the basis of the comparison between the two types of database. The relational model is based on mathematical theory(set theory, relational theory) whereas the nonrelational databases may or may not have a single groundwork mathematical theory. Relational model is beneficial when it comes to reliability, flexibility, robustness, scalability requirements but in order to cater to the needs of modern applications where the data is huge and generally unstructured; Non relational databases show true signs of usability here. Based on the characteristics, commonly used tools of relational and non relational databases are mentioned along with brief introduction of the tools. Comparison has been done between the tools to notify the distinctive features of tools of relational and non relational database. Conclusive remarks about the two categories of database have been mentioned.

title: NoSQL in database education: incorporating non relational concepts into a relational database course: panel discussion
abstract: Due to the growth of data accumulation, NoSQL databases using non relational database models are becoming more prevalent within industry. Students must be equipped with knowledge about these new techniques, and how they are affecting current database designs within industry. This panel will discuss the obstacles and benefits of introducing students to non relational database models in conventional database courses. Central points of discussion will include, the impact of NoSQL databases on a traditional database curriculum, assessment of these curricular changes, and also how NoSQL databases can be used within industry to improve scalability.

title: Uniform Access to Non relational Database Systems: The SOS Platform
abstract: Non relational databases (often termed as NoSQL) have recently emerged and have generated both interest and criticism. Interest because they address requirements that are very important in large scale applications, criticism because of the comparison with well known relational achievements. One of the major problems often mentioned is the heterogeneity of the languages and the interfaces they offer to developers and users. Different platforms and languages have been proposed, and applications developed for one system require significant effort to be migrated to another one. Here we propose a common programming interface to NoSQL systems (and also to relational ones) called SOS (Save Our Systems) Its goal is to support application development by hiding the specific details of the various systems. It is based on a metamodeling approach, in the sense that the specific interfaces of the individual systems are mapped to a common one. The tool provides interoperability as well, since a single application can interact with several systems at the same time.

title: Amazon dynamoDB: a seamlessly scalable non relational database service
abstract: Reliability and scalability of an application is dependent on how its application state is managed. To run applications at massive scale requires one to operate datastores that can scale to operate seamlessly across thousands of servers and can deal with various failure modes such as server failures, datacenter failures and network partitions. The goal of Amazon DynamoDB is to eliminate this complexity and operational overhead for our customers by offering a seamlessly scalable database service. In this talk, I will talk about how developers can build applications on DynamoDB without having to deal with the complexity of operating a large scale database.

title: RDBMS to NoSQL: Reviewing Some Next Generation Non Relational Database's
abstract: s In the world of cloud computing, one essential ingredient is a database that can accommodate a very large number of users on an ondemand basis. Distributed storage mechanisms are becoming the de facto method of data storage for the new generation of web applications used by companies like Google, Amazon, Facebook, Twitter, Salesforce.com, Linkedin.com and Yahoo! etc. which are processing large amount of data at a petabyte scale. The main limitations with RDBMS are it is hard to scale with Data warehousing, Grid, Web 2.0 and Cloud applications, non linear query execution time, unstable query plans and static schema. Even though RDBMS have provided database users with the best mix of simplicity, robustness, flexibility, performance, scalability and compatibility still next generation NoSQL not only SQL databases mostly being non relational, distributed, open source and horizontally scalable. The main characteristics of these databases are schema free, no join, non relational, easy replication support, simple API and eventually consistent. The aim of this paper is to provide a better understand of the nonrelational database design, architecture and comparison between them and also identify important research directions in this increasingly

title: Relational versus non relational database systems for data warehousing
abstract: Relational database systems have been the dominating technology to manage and analyze large data warehouses. Moreover, the ER model, the standard in database design has a close relationship with the relational model. Recently, there has been a surge of alternative technologies for large scale analytic processing, most of which are not based on the relational model. Out of these proposals, distributed file systems together with MapReduce have become strong competitors to relational database systems to analyze large data sets, exploiting parallel processing. Moreover, there is progress on using MapReduce to evaluate relational queries. With that motivation in mind, this panel will compare pros and cons of each technology for data warehousing and will identify research issues, considering practical aspects like ease of use, programming flexibility and cost; as well as technical aspects like data modeling, storage, hardware, scalability, query processing, fault tolerance and data mining.

title: Benchmarking a non relational database in a wireless environment
abstract: Non relational databases are specially designed mainly for cloud environments, which there are normally millions users accessing the data center. This project aims to developed a middleware to connect mobile phones to a HBase center. The role of the middleware is to facilitate access to a data center, and receive instructions from mobile users and then manipulate the non relational databases. The MiddleWare ran in a cluster. The research focused on developing job scheduling and resource (compute, memory, bandwidth) allocation algorithm, which take into consideration the data requirements of the applications, the inter dependencies between sub tasks, the network topology and real time QoS.