Big Data Application Architecture Q A

Big Data Application Architecture Q A
Author: Nitin Sawant,Himanshu Shah
Publsiher: Apress
Total Pages: 172
Release: 2014-01-24
Genre: Computers
ISBN: 9781430262930

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Big Data Application Architecture Pattern Recipes provides an insight into heterogeneous infrastructures, databases, and visualization and analytics tools used for realizing the architectures of big data solutions. Its problem-solution approach helps in selecting the right architecture to solve the problem at hand. In the process of reading through these problems, you will learn harness the power of new big data opportunities which various enterprises use to attain real-time profits. Big Data Application Architecture Pattern Recipes answers one of the most critical questions of this time 'how do you select the best end-to-end architecture to solve your big data problem?'. The book deals with various mission critical problems encountered by solution architects, consultants, and software architects while dealing with the myriad options available for implementing a typical solution, trying to extract insight from huge volumes of data in real–time and across multiple relational and non-relational data types for clients from industries like retail, telecommunication, banking, and insurance. The patterns in this book provide the strong architectural foundation required to launch your next big data application. The architectures for realizing these opportunities are based on relatively less expensive and heterogeneous infrastructures compared to the traditional monolithic and hugely expensive options that exist currently. This book describes and evaluates the benefits of heterogeneity which brings with it multiple options of solving the same problem, evaluation of trade-offs and validation of 'fitness-for-purpose' of the solution.

Software Architecture for Big Data and the Cloud

Software Architecture for Big Data and the Cloud
Author: Ivan Mistrik,Rami Bahsoon,Nour Ali,Maritta Heisel,Bruce Maxim
Publsiher: Morgan Kaufmann
Total Pages: 470
Release: 2017-06-12
Genre: Computers
ISBN: 9780128093382

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Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency, parallelism, and dependability, amongst others. Big data handling requires rethinking architectural solutions to meet functional and non-functional requirements related to volume, variety and velocity. The book's editors have varied and complementary backgrounds in requirements and architecture, specifically in software architectures for cloud and big data, as well as expertise in software engineering for cloud and big data. This book brings together work across different disciplines in software engineering, including work expanded from conference tracks and workshops led by the editors. Discusses systematic and disciplined approaches to building software architectures for cloud and big data with state-of-the-art methods and techniques Presents case studies involving enterprise, business, and government service deployment of big data applications Shares guidance on theory, frameworks, methodologies, and architecture for cloud and big data

Predictive Intelligence Using Big Data and the Internet of Things

Predictive Intelligence Using Big Data and the Internet of Things
Author: Gupta, P.K.,Ören, Tuncer,Singh, Mayank
Publsiher: IGI Global
Total Pages: 300
Release: 2018-12-28
Genre: Computers
ISBN: 9781522562115

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With the recent growth of big data and the internet of things (IoT), individuals can now upload, retrieve, store, and collect massive amounts of information to help drive decisions and optimize processes. Due to this, a new age of predictive computing is taking place, and data can now be harnessed to predict unknown occurrences or probabilities based on data collected in real time. Predictive Intelligence Using Big Data and the Internet of Things highlights state-of-the-art research on predictive intelligence using big data, the IoT, and related areas to ensure quality assurance and compatible IoT systems. Featuring coverage on predictive application scenarios to discuss these breakthroughs in real-world settings and various methods, frameworks, algorithms, and security concerns for predictive intelligence, this book is ideally designed for academicians, researchers, advanced-level students, and technology developers.

Quality Assurance in the Era of Individualized Medicine

Quality Assurance in the Era of Individualized Medicine
Author: Moumtzoglou, Anastasius S.
Publsiher: IGI Global
Total Pages: 346
Release: 2019-11-29
Genre: Medical
ISBN: 9781799823919

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There is a significant deficiency among contemporary medicine practices reflected by experts making medical decisions for a large proportion of the population for which no or minimal data exists. Fortunately, our capacity to procure and apply such information is rapidly rising. As medicine becomes more individualized, the implementation of health IT and data interoperability become essential components to delivering quality healthcare. Quality Assurance in the Era of Individualized Medicine is a collection of innovative research on the methods and utilization of digital readouts to fashion an individualized therapy instead of a mass-population-directed strategy. While highlighting topics including assistive technologies, patient management, and clinical practices, this book is ideally designed for health professionals, doctors, nurses, hospital management, medical administrators, IT specialists, data scientists, researchers, academicians, and students.

Cyber Intelligence and Information Retrieval

Cyber Intelligence and Information Retrieval
Author: João Manuel R. S. Tavares,Paramartha Dutta,Soumi Dutta,Debabrata Samanta
Publsiher: Springer Nature
Total Pages: 645
Release: 2021-10-30
Genre: Technology & Engineering
ISBN: 9789811642845

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This book gathers a collection of high-quality peer-reviewed research papers presented at International Conference on Cyber Intelligence and Information Retrieval (CIIR 2021), held at Institute of Engineering & Management, Kolkata, India during 20–21 May 2021. The book covers research papers in the field of privacy and security in the cloud, data loss prevention and recovery, high-performance networks, network security and cryptography, image and signal processing, artificial immune systems, information and network security, data science techniques and applications, data warehousing and data mining, data mining in dynamic environment, higher-order neural computing, rough set and fuzzy set theory, and nature-inspired computing techniques.

Quality of Information and Communications Technology

Quality of Information and Communications Technology
Author: Ana C. R. Paiva,Ana Rosa Cavalli,Paula Ventura Martins,Ricardo Pérez-Castillo
Publsiher: Springer Nature
Total Pages: 566
Release: 2021-08-27
Genre: Computers
ISBN: 9783030853471

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This book constitutes the refereed proceedings of the 14th International Conference on the Quality of Information and Communications Technology, QUATIC 2021, held in Algarve, Portugal*, in September 2021. The 30 full papers and 9 short papers were carefully reviewed and selected from 98 submissions. The papers are organized in topical sections: ICT verification and validation; software evolution; process modeling, improvement and assessment; quality aspects in quantum computing; safety, security, and privacy; quality aspects in machine learning, AI and data analytics; evidence-based software quality engineering; quality in cyber-physical systems; software quality education and training. *The conference was held virtually due to the COVID-19 pandemic.

Research Anthology on Big Data Analytics Architectures and Applications

Research Anthology on Big Data Analytics  Architectures  and Applications
Author: Management Association, Information Resources
Publsiher: IGI Global
Total Pages: 1988
Release: 2021-09-24
Genre: Computers
ISBN: 9781668436639

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Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.

Software Engineering for Variability Intensive Systems

Software Engineering for Variability Intensive Systems
Author: Ivan Mistrik,Matthias Galster,Bruce R. Maxim
Publsiher: CRC Press
Total Pages: 366
Release: 2019-01-15
Genre: Computers
ISBN: 9780429666742

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This book addresses the challenges in the software engineering of variability-intensive systems. Variability-intensive systems can support different usage scenarios by accommodating different and unforeseen features and qualities. The book features academic and industrial contributions that discuss the challenges in developing, maintaining and evolving systems, cloud and mobile services for variability-intensive software systems and the scalability requirements they imply. The book explores software engineering approaches that can efficiently deal with variability-intensive systems as well as applications and use cases benefiting from variability-intensive systems.

Software Quality Assurance

Software Quality Assurance
Author: Ivan Mistrik,Richard M Soley,Nour Ali,John Grundy,Bedir Tekinerdogan
Publsiher: Morgan Kaufmann
Total Pages: 416
Release: 2015-10-12
Genre: Computers
ISBN: 9780128025413

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Software Quality Assurance in Large Scale and Complex Software-intensive Systems presents novel and high-quality research related approaches that relate the quality of software architecture to system requirements, system architecture and enterprise-architecture, or software testing. Modern software has become complex and adaptable due to the emergence of globalization and new software technologies, devices and networks. These changes challenge both traditional software quality assurance techniques and software engineers to ensure software quality when building today (and tomorrow’s) adaptive, context-sensitive, and highly diverse applications. This edited volume presents state of the art techniques, methodologies, tools, best practices and guidelines for software quality assurance and offers guidance for future software engineering research and practice. Each contributed chapter considers the practical application of the topic through case studies, experiments, empirical validation, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited, to: quality attributes of system/software architectures; aligning enterprise, system, and software architecture from the point of view of total quality; design decisions and their influence on the quality of system/software architecture; methods and processes for evaluating architecture quality; quality assessment of legacy systems and third party applications; lessons learned and empirical validation of theories and frameworks on architectural quality; empirical validation and testing for assessing architecture quality. Focused on quality assurance at all levels of software design and development Covers domain-specific software quality assurance issues e.g. for cloud, mobile, security, context-sensitive, mash-up and autonomic systems Explains likely trade-offs from design decisions in the context of complex software system engineering and quality assurance Includes practical case studies of software quality assurance for complex, adaptive and context-critical systems

Handbook of Research on Big Data Storage and Visualization Techniques

Handbook of Research on Big Data Storage and Visualization Techniques
Author: Segall, Richard S.,Cook, Jeffrey S.
Publsiher: IGI Global
Total Pages: 917
Release: 2018-01-05
Genre: Computers
ISBN: 9781522531432

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The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.

Web and Big Data

Web and Big Data
Author: Xin Wang,Rui Zhang,Young-Koo Lee,Le Sun,Yang-Sae Moon
Publsiher: Springer Nature
Total Pages: 829
Release: 2020-10-15
Genre: Computers
ISBN: 9783030602598

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This two-volume set, LNCS 11317 and 12318, constitutes the thoroughly refereed proceedings of the 4th International Joint Conference, APWeb-WAIM 2020, held in Tianjin, China, in September 2020. Due to the COVID-19 pandemic the conference was organizedas a fully online conference. The 42 full papers presented together with 17 short papers, and 6 demonstration papers were carefully reviewed and selected from 180 submissions. The papers are organized around the following topics: Big Data Analytics; Graph Data and Social Networks; Knowledge Graph; Recommender Systems; Information Extraction and Retrieval; Machine Learning; Blockchain; Data Mining; Text Analysis and Mining; Spatial, Temporal and Multimedia Databases; Database Systems; and Demo.

Big Data Strategies for Agile Business

Big Data Strategies for Agile Business
Author: Bhuvan Unhelkar
Publsiher: CRC Press
Total Pages: 503
Release: 2017-09-13
Genre: Business & Economics
ISBN: 9781351646543

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Agile is a set of values, principles, techniques, and frameworks for the adaptable, incremental, and efficient delivery of work. Big Data is a rapidly growing field that encompasses crucial aspects of data such as its volume, velocity, variety, and veracity. This book outlines a strategic approach to Big Data that will render a business Agile. It discusses the important competencies required to streamline and focus on the analytics and presents a roadmap for implementing such analytics in business.

Engineering the Web in the Big Data Era

Engineering the Web in the Big Data Era
Author: Philipp Cimiano,Flavius Frasincar,Geert-Jan Houben,Daniel Schwabe
Publsiher: Springer
Total Pages: 733
Release: 2015-06-09
Genre: Computers
ISBN: 9783319198903

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This book constitutes the refereed proceedings of the 15th International Conference on Web Engineering, ICWE 2015, held in Rotterdam, The Netherlands, in June 2015. The 26 full research papers, 11 short papers, 7 industry papers, 11 demonstrations, 6 posters and 4 contributions to the PhD symposium presented were carefully reviewed and selected from 100 submissions. Moreover 2 tutorials are presented. The papers focus on eight tracks, namely Web application modeling and engineering; mobile Web applications; social Web applications; semantic Web applications; quality and accessibility aspects of Web applications; Web applications composition and mashups; Web user interfaces; security and privacy in Web applications.

Advanced Visual Interfaces Supporting Big Data Applications

Advanced Visual Interfaces  Supporting Big Data Applications
Author: Marco X. Bornschlegl,Felix C. Engel,Raymond Bond,Matthias L. Hemmje
Publsiher: Springer
Total Pages: 143
Release: 2016-12-15
Genre: Computers
ISBN: 9783319500706

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This book constitutes the thoroughly refereed post-workshop proceedings of the AVI 2016 Workshop on Road Mapping Infrastructures for Advanced Visual Interfaces Supporting Big Data Applications in Virtual Research Environments, AVI-BDA 2016, held in Bari, Italy, in June 2016. The 10 revised full papers in this volume present the elaborated outcome of the initial position papers capturing the results oft the roadmapping discussions in the workshop at which comments of several external reviewers for these full publications were also integrated.

Big Data Analytics

Big Data Analytics
Author: Ladjel Bellatreche,Vikram Goyal,Hamido Fujita,Anirban Mondal,P. Krishna Reddy
Publsiher: Springer Nature
Total Pages: 345
Release: 2021-01-02
Genre: Computers
ISBN: 9783030666651

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This book constitutes the proceedings of the 8th International Conference on Big Data Analytics, BDA 2020, which took place during December 15-18, 2020, in Sonepat, India. The 11 full and 3 short papers included in this volume were carefully reviewed and selected from 48 submissions; the book also contains 4 invited and 3 tutorial papers. The contributions were organized in topical sections named as follows: data science systems; data science architectures; big data analytics in healthcare; information interchange of Web data resources; and business analytics.