A study of normalization and embedding in MongoDB

Kanade, Anuradha; Gopal, Arpita; Kanade, Shantanu

doi:10.1109/iadcc.2014.6779360

Cited by 56 publications

(28 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This type system opens the door to many "modeling" possibilities that sometimes are compared to the normalized and de-normalized alternatives of the relational data model [4]. As will be evident in the following sections, even if NoSQL trends are prone to using schema-less data bases, there is an "implicit" schema and its choice is important.…”

Section: Document Db Backgroundmentioning

confidence: 99%

“…Each document has a field expected to be an identifier. Such identifiers are used for the references among documents to represent the relationships 4 . In S1, the references are in the collections of the entity participating with cardinality 1 to the relationships.…”

Section: Data Structuring Alternativesmentioning

confidence: 99%

“…Data modelling has an impact on querying performance, consistency, usability, software debugging and maintainability, and many other aspects [4]. What would be good data structuring in NoSQL systems?…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Data schema does matter, even in NoSQL systems!

Gómez

Casallas

Roncancio

2016

2016 IEEE Tenth International Conference on Research Challenges in Information Science (RCIS)

View full text Add to dashboard Cite

Abstract-A Schema-less NoSQL system refers to solutions where users do not declare a database schema and, in fact, its management is moved to the application code. This paper presents a study that allows us to evaluate, to some extent, the data structuring impact. The decision of how to structure data in semi-structured databases has an enormous impact on data size, query performance and readability of the code, which influences software debugging and maintainability. This paper presents an experiment performed using MongoDB along with several alternatives of data structuring and a set of queries having increasing complexity. This paper introduces an analysis regarding the findings of such an experiment.

show abstract

Section: Document Db Backgroundmentioning

confidence: 99%

Section: Data Structuring Alternativesmentioning

confidence: 99%

See 1 more Smart Citation

Data schema does matter, even in NoSQL systems!

Gómez

Casallas

Roncancio

2016

2016 IEEE Tenth International Conference on Research Challenges in Information Science (RCIS)

View full text Add to dashboard Cite

show abstract

“…For the initial thoughts about NoSQL modeling and its comparison between traditional relational models and NoSQL models is provided in [102]. A study about normalization and de normalization during the data modeling is done in [108].…”

Section: Modeling Aspectsmentioning

confidence: 99%

Modeling temporal aspects of sensor data for MongoDB NoSQL database

2017

View full text Add to dashboard Cite

Proliferation of structural, semi-structural and no-structural data, has challenged the scalability, flexibility and processability of the traditional relational database management systems (RDBMS). The next generation systems demand horizontal scaling by distributing data over autonomously addable nodes to a running system. For schema flexibility, they also want to process and store different data formats along the sequence factor in the data. NoSQL approaches are solutions to these, hence big data solutions are vital nowadays. But in monitoring scenarios sensors transmit the data continuously over certain intervals of time and temporal factor is the main property of the data. Therefore the key research aspect is to investigate schema flexibility and temporal data integration aspects together. We need to know that: what data modelling should we adopt for a data driven real-time scenario; that we could store the data effectively and evolve the schema accordingly during data integration in NoSQL environments without losing big data advantages. In this paper we explain a middleware based schema model to support the temporal oriented storage of real-time data of ANT+ sensors as hierarchical documents. We explain how to adopt a schema for the data integration by using an algorithm based approach for flexible evolution of the model for a document oriented database, i.e, MongoDB. The proposed model is logical, compact for storage and evolves seamlessly upon new data integration

show abstract

“…However, none of the above has met success as RDBMS for implementing data warehouses and in particular for implementing OLAP cuboids as we do is this paper. In (Kanade et al, 2014), different document logical models are compared to each other: data denormalization, normalized data; and models that use nesting. However, this study is in a "non-OLAP" setting.…”

Section: Related Workmentioning

confidence: 99%

An Evaluation of the Challenges of Multilingualism in Data Warehouse Development

Dediź

Stanier

2016

Proceedings of the 18th International Conference on Enterprise Information Systems

View full text Add to dashboard Cite

ICEIS 2016 received 257 paper submissions from 42 countries in all continents, which makes it one of the largest conferences in the World in the area of Information Systems, thus demonstrating the success and global dimension of this conference. From these, 42 papers were selected for publication and presentation at the Conference as full papers. These numbers, leading to a full-paper acceptance ratio of 16%, show the intention of preserving a high quality forum for this conference, a quality that we intend to maintain in the future, for the next editions of this conference.The high number and high quality of the received papers imposed difficult choices in the selection process. To evaluate each submission, a double blind paper review was performed by the Program Committee, whose members are highly qualified researchers in ICEIS topic areas.All presented papers will be available at the SCITEPRESS Digital Library and will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus.Additionally, a short list of presented papers will be selected to be expanded into a forthcoming book of ICEIS 2016 Selected Papers to be published by Springer in the LNBIP Series.The technical program of the conference included a panel and 4 invited talks delivered by internationally distinguished speakers, namely: Claudia Loebbecke (University of Cologne, Germany), Sergio Gusmeroli (TXT e-solutions SPA, Italy), Wil Van Der Aalst (Technische Universiteit Eindhoven, Netherlands) and Jan Vom Brocke (University of Liechtenstein, Liechtenstein). Their participation positively contributes to reinforce the overall quality of the Conference and to provide a deeper understanding of the fields addressed by the conference.Moreover, ICEIS 2016 had a Doctoral Consortium on Enterprise Information Systems and 1 tutorial. We are thankful to the Conference Co-chairs (Olivier Camp and José Cordeiro) and Program Co-chairs (Slimane Hammoudi, Leszek Maciaszek and Michele M. Missikoff) for their dedication and hard work in organizing these events.We sincerely thank all the authors for their submissions and participation in ICEIS 2016. Furthermore, we would like to thank all the members of the program committee and reviewers, who helped us with their expertise, dedication and time. We would also like to thank the invited speakers for their excellent contribution in sharing their knowledge and vision and the workshop/special session chairs whose collaboration with ICEIS 2015 was much appreciated. Finally, we gratefully acknowledge the professional support of the ICEIS 2016 team for all organizational processes. XIIIWe hope that all colleagues find this a fruitful and inspiring conference. We hope to contribute to the development of the Enterprise Information Systems community and look forward to having additional research results presented at the next edition of ICEIS, details of which are available at http://www.iceis.org. Slimane Hammoudi University of Cologne, GermanyAbstract:...

show abstract

A study of normalization and embedding in MongoDB

Cited by 56 publications

References 7 publications

Data schema does matter, even in NoSQL systems!

Data schema does matter, even in NoSQL systems!

Modeling temporal aspects of sensor data for MongoDB NoSQL database

An Evaluation of the Challenges of Multilingualism in Data Warehouse Development

Contact Info

Product

Resources

About