Testing of transactional services in NoSQL key-value databases

Gonzlez-Aparicio, Mara Teresa; Younas, Muhammad; Tuya, Javier; Casado, Rubn

doi:10.1016/j.future.2017.07.004

Cited by 16 publications

(6 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They are either proprietary [17,18], symmetrical [3,19,20], or post-development assessment tools [17,21,22]. As a result, NoSQL modelers rely on rules of thumb to model schemas that require a high level of competence [23]. In this study, a Dynamic Schema Proposition (DSP) model for NoSQL databases is proposed to handle the asymmetric nature of today's data.…”

Section: Introductionmentioning

confidence: 99%

DSP: Schema Design for Non-Relational Applications

et al. 2020

View full text Add to dashboard Cite

The way a database schema is designed has a high impact on its performance in relational databases, which are symmetric in nature. While the problem of schema optimization is even more significant for NoSQL (“Not only SQL”) databases, existing modeling tools for relational databases are inadequate for this asymmetric setting. As a result, NoSQL modelers rely on rules of thumb to model schemas that require a high level of competence. Several studies have been conducted to address this problem; however, they are either proprietary, symmetrical, relationally dependent or post-design assessment tools. In this study, a Dynamic Schema Proposition (DSP) model for NoSQL databases is proposed to handle the asymmetric nature of today’s data. This model aims to facilitate database design and improve its performance in relation to data availability. To achieve this, data modeling styles were aggregated and classified. Existing cardinality notations were empirically extended using synthetically generated queries. A binary integer formulation was used to guide the mapping of asymmetric entities from the application’s conceptual data model to a database schema. An experiment was conducted to evaluate the impact of the DSP model on NoSQL schema production and its performance. A profound improvement was observed in read/write query performance and schema production complexities. In this regard, DSP has significant potential to produce schemas that are capable of handling big data efficiently.

show abstract

Section: Introductionmentioning

confidence: 99%

DSP: Schema Design for Non-Relational Applications

et al. 2020

View full text Add to dashboard Cite

show abstract

“…With Hive, on the other hand, the data warehouse solution can natively provide full ACID semantics at the row level [93]. Nonetheless, such distributed solutions are not even mentioned in recent works where the authors test transactional services in NoSQL databases, propose their own middleware layer over Riak [94], and test the solution using data from the Council of London for public transportation of bus services [95]. …”

Section: Discussion and Further Researchmentioning

confidence: 99%

Hadoop Oriented Smart Cities Architecture

Dıaconıța

Bologa

2018

Sensors

View full text Add to dashboard Cite

A smart city implies a consistent use of technology for the benefit of the community. As the city develops over time, components and subsystems such as smart grids, smart water management, smart traffic and transportation systems, smart waste management systems, smart security systems, or e-governance are added. These components ingest and generate a multitude of structured, semi-structured or unstructured data that may be processed using a variety of algorithms in batches, micro batches or in real-time. The ICT architecture must be able to handle the increased storage and processing needs. When vertical scaling is no longer a viable solution, Hadoop can offer efficient linear horizontal scaling, solving storage, processing, and data analyses problems in many ways. This enables architects and developers to choose a stack according to their needs and skill-levels. In this paper, we propose a Hadoop-based architectural stack that can provide the ICT backbone for efficiently managing a smart city. On the one hand, Hadoop, together with Spark and the plethora of NoSQL databases and accompanying Apache projects, is a mature ecosystem. This is one of the reasons why it is an attractive option for a Smart City architecture. On the other hand, it is also very dynamic; things can change very quickly, and many new frameworks, products and options continue to emerge as others decline. To construct an optimized, modern architecture, we discuss and compare various products and engines based on a process that takes into consideration how the products perform and scale, as well as the reusability of the code, innovations, features, and support and interest in online communities.

show abstract

“…Such databases provide key benefits such as efficiency, scalability, and availability in storing and processing big data. However, they do not provide appropriate support for transactions, data normalisation, and integrity constraints which affect the consistency of big data [4,5]. Thus, the current models and techniques implemented in NoSQL databases should be re-examined so that they can be used in applications/services that demand strong data consistency in addition to high efficiency, scalability, and availability.…”

Section: Big Data Challengesmentioning

confidence: 99%

Research challenges of big data

Younas

2019

SOCA

Self Cite

View full text Add to dashboard Cite

Big data is characterised by new characteristics such as 3Vs (Volume, Velocity, Variety), and/or 5Vs (Volume, Velocity, Variety, Veracity, and Value). Due to the distinguishing characteristics of big data, it is commonly stored and processed using NoSQL (Not Only SQL) database systems. Big data has been utilised in various applications and services ranging from E-commerce through to social media to public sector and governmental organisations. The goal of this editorial note is to provide a concise summary of the big data characteristics, models, and technologies and to identify some of the crucial research challenges that are open for further research.

show abstract

Testing of transactional services in NoSQL key-value databases

Cited by 16 publications

References 37 publications

DSP: Schema Design for Non-Relational Applications

DSP: Schema Design for Non-Relational Applications

Hadoop Oriented Smart Cities Architecture

Research challenges of big data

Contact Info

Product

Resources

About