Bridging Relational and NoSQL Databases

Bridging Relational and NoSQL Databases
Title Bridging Relational and NoSQL Databases PDF eBook
Author Gaspar, Drazena
Publisher IGI Global
Pages 357
Release 2017-11-30
Genre Computers
ISBN 1522533869

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Relational databases have been predominant for many years and are used throughout various industries. The current system faces challenges related to size and variety of data thus the NoSQL databases emerged. By joining these two database models, there is room for crucial developments in the field of computer science. Bridging Relational and NoSQL Databases is an innovative source of academic content on the convergence process between databases and describes key features of the next database generation. Featuring coverage on a wide variety of topics and perspectives such as BASE approach, CAP theorem, and hybrid and native solutions, this publication is ideally designed for professionals and researchers interested in the features and collaboration of relational and NoSQL databases.

NoSQL Distilled

NoSQL Distilled
Title NoSQL Distilled PDF eBook
Author Pramod J. Sadalage
Publisher Pearson Education
Pages 188
Release 2013
Genre Computers
ISBN 0321826620

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'NoSQL Distilled' is designed to provide you with enough background on how NoSQL databases work, so that you can choose the right data store without having to trawl the whole web to do it. It won't answer your questions definitively, but it should narrow down the range of options you have to consider.

Relational Database Practices

Relational Database Practices
Title Relational Database Practices PDF eBook
Author Malcolm Hamer
Publisher
Pages 242
Release 2017-04-25
Genre Database design
ISBN 9780998964607

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Emerging Technologies and Applications in Data Processing and Management

Emerging Technologies and Applications in Data Processing and Management
Title Emerging Technologies and Applications in Data Processing and Management PDF eBook
Author Ma, Zongmin
Publisher IGI Global
Pages 478
Release 2019-06-28
Genre Computers
ISBN 1522584471

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Advances in web technology and the proliferation of sensors and mobile devices connected to the internet have resulted in the generation of immense data sets available on the web that need to be represented, saved, and exchanged. Massive data can be managed effectively and efficiently to support various problem-solving and decision-making techniques. Emerging Technologies and Applications in Data Processing and Management is a critical scholarly publication that examines the importance of data management strategies that coincide with advancements in web technologies. Highlighting topics such as geospatial coverages, data analysis, and keyword query, this book is ideal for professionals, researchers, academicians, data analysts, web developers, and web engineers.

Advances in Information Systems Development

Advances in Information Systems Development
Title Advances in Information Systems Development PDF eBook
Author Emilio Insfran
Publisher Springer Nature
Pages 299
Release 2022-04-07
Genre Business & Economics
ISBN 3030953548

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This volume features a collection of papers on emerging concepts, significant insights, novel approaches and ideas in information systems development (ISD). It examines and investigates up-and-coming trends in ISD in general, emphasizing the continuous collaboration between developers and operators to optimize the software delivery time. The book gathers selected papers from the 29th International Conference on Information Systems Development held at Universitat Politècnica de València, Spain, September 8-10, 2021. The theme of ISD2021 was “Crossing Boundaries between Development and Operations (DevOps) in Information Systems.” The revised and extended papers focus on the influences among information systems, organizational structures, processes and people from its conception to its operation. They examine methodological issues and ways in which the IS designers, developers and operators are transforming organisations and society through information systems.

Optimization Techniques for Problem Solving in Uncertainty

Optimization Techniques for Problem Solving in Uncertainty
Title Optimization Techniques for Problem Solving in Uncertainty PDF eBook
Author Tilahun, Surafel Luleseged
Publisher IGI Global
Pages 327
Release 2018-06-22
Genre Computers
ISBN 1522550925

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When it comes to optimization techniques, in some cases, the available information from real models may not be enough to construct either a probability distribution or a membership function for problem solving. In such cases, there are various theories that can be used to quantify the uncertain aspects. Optimization Techniques for Problem Solving in Uncertainty is a scholarly reference resource that looks at uncertain aspects involved in different disciplines and applications. Featuring coverage on a wide range of topics including uncertain preference, fuzzy multilevel programming, and metaheuristic applications, this book is geared towards engineers, managers, researchers, and post-graduate students seeking emerging research in the field of optimization.

Extracting Knowledge From Opinion Mining

Extracting Knowledge From Opinion Mining
Title Extracting Knowledge From Opinion Mining PDF eBook
Author Agrawal, Rashmi
Publisher IGI Global
Pages 374
Release 2018-09-07
Genre Computers
ISBN 1522561188

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Data mining techniques are commonly used to extract meaningful information from the web, such as data from web documents, website usage logs, and hyperlinks. Building on this, modern organizations are focusing on running and improving their business methods and returns by using opinion mining. Extracting Knowledge From Opinion Mining is an essential resource that presents detailed information on web mining, business intelligence through opinion mining, and how to effectively use knowledge retrieved through mining operations. While highlighting relevant topics, including the differences between ontology-based opinion mining and feature-based opinion mining, this book is an ideal reference source for information technology professionals within research or business settings, graduate and post-graduate students, as well as scholars.