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
ISBN: 0128093382
Category: Computers
Language: EN, FR, DE, ES & NL

Software Architecture for Big Data and the Cloud Book Excerpt:

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

Knowledge Management in the Development of Data Intensive Systems

Knowledge Management in the Development of Data Intensive Systems
Author: Ivan Mistrik,Matthias Galster,Bruce R. Maxim,Bedir Tekinerdogan
Publsiher: CRC Press
Total Pages: 342
Release: 2021-06-15
ISBN: 1000387410
Category: Computers
Language: EN, FR, DE, ES & NL

Knowledge Management in the Development of Data Intensive Systems Book Excerpt:

Data-intensive systems are software applications that process and generate Big Data. Data-intensive systems support the use of large amounts of data strategically and efficiently to provide intelligence. For example, examining industrial sensor data or business process data can enhance production, guide proactive improvements of development processes, or optimize supply chain systems. Designing data-intensive software systems is difficult because distribution of knowledge across stakeholders creates a symmetry of ignorance, because a shared vision of the future requires the development of new knowledge that extends and synthesizes existing knowledge. Knowledge Management in the Development of Data-Intensive Systems addresses new challenges arising from knowledge management in the development of data-intensive software systems. These challenges concern requirements, architectural design, detailed design, implementation and maintenance. The book covers the current state and future directions of knowledge management in development of data-intensive software systems. The book features both academic and industrial contributions which discuss the role software engineering can play for addressing challenges that confront developing, maintaining and evolving systems;data-intensive software systems of cloud and mobile services; and the scalability requirements they imply. The book features software engineering approaches that can efficiently deal with data-intensive systems as well as applications and use cases benefiting from data-intensive systems. Providing a comprehensive reference on the notion of data-intensive systems from a technical and non-technical perspective, the book focuses uniquely on software engineering and knowledge management in the design and maintenance of data-intensive systems. The book covers constructing, deploying, and maintaining high quality software products and software engineering in and for dynamic and flexible environments. This book provides a holistic guide for those who need to understand the impact of variability on all aspects of the software life cycle. It leverages practical experience and evidence to look ahead at the challenges faced by organizations in a fast-moving world with increasingly fast-changing customer requirements and expectations.

Handbook of Research on Big Data and the IoT

Handbook of Research on Big Data and the IoT
Author: Kaur, Gurjit,Tomar, Pradeep
Publsiher: IGI Global
Total Pages: 568
Release: 2019-03-29
ISBN: 1522574336
Category: Computers
Language: EN, FR, DE, ES & NL

Handbook of Research on Big Data and the IoT Book Excerpt:

The increase in connected devices in the internet of things (IoT) is leading to an exponential increase in the data that an organization is required to manage. To successfully utilize IoT in businesses, big data analytics are necessary in order to efficiently sort through the increased data. The combination of big data and IoT can thus enable new monitoring services and powerful processing of sensory data streams. The Handbook of Research on Big Data and the IoT is a pivotal reference source that provides vital research on emerging trends and recent innovative applications of big data and IoT, challenges facing organizations and the implications of these technologies on society, and best practices for their implementation. While highlighting topics such as bootstrapping, data fusion, and graph mining, this publication is ideally designed for IT specialists, managers, policymakers, analysts, software engineers, academicians, and researchers.

Applications and Approaches to Object Oriented Software Design Emerging Research and Opportunities

Applications and Approaches to Object Oriented Software Design  Emerging Research and Opportunities
Author: Altan, Zeynep
Publsiher: IGI Global
Total Pages: 238
Release: 2019-11-29
ISBN: 1799821447
Category: Computers
Language: EN, FR, DE, ES & NL

Applications and Approaches to Object Oriented Software Design Emerging Research and Opportunities Book Excerpt:

In today’s modernized environment, a growing number of software companies are changing their traditional engineering approaches in response to the rapid development of computing technologies. As these businesses adopt modern software engineering practices, they face various challenges including the integration of current methodologies and contemporary design models and the refactoring of existing systems using advanced approaches. Applications and Approaches to Object-Oriented Software Design: Emerging Research and Opportunities is a pivotal reference source that provides vital research on the development of modern software practices that impact maintenance, design, and developer productivity. While highlighting topics such as augmented reality, distributed computing, and big data processing, this publication explores the current infrastructure of software systems as well as future advancements. This book is ideally designed for software engineers, IT specialists, data scientists, business professionals, developers, researchers, students, and academicians seeking current research on contemporary software engineering methods.

Integration of Cloud Computing with Internet of Things

Integration of Cloud Computing with Internet of Things
Author: Monika Mangla,Suneeta Satpathy,Bhagirathi Nayak,Sachi Nandan Mohanty
Publsiher: John Wiley & Sons
Total Pages: 384
Release: 2021-04-13
ISBN: 111976887X
Category: Computers
Language: EN, FR, DE, ES & NL

Integration of Cloud Computing with Internet of Things Book Excerpt:

The book aims to integrate the aspects of IoT, Cloud computing and data analytics from diversified perspectives. The book also plans to discuss the recent research trends and advanced topics in the field which will be of interest to academicians and researchers working in this area. Thus, the book intends to help its readers to understand and explore the spectrum of applications of IoT, cloud computing and data analytics. Here, it is also worth mentioning that the book is believed to draw attention on the applications of said technology in various disciplines in order to obtain enhanced understanding of the readers. Also, this book focuses on the researches and challenges in the domain of IoT, Cloud computing and Data analytics from perspectives of various stakeholders.

Data Management and Analysis

Data Management and Analysis
Author: Reda Alhajj,Mohammad Moshirpour,Behrouz Far
Publsiher: Springer Nature
Total Pages: 260
Release: 2019-12-20
ISBN: 3030325873
Category: Computers
Language: EN, FR, DE, ES & NL

Data Management and Analysis Book Excerpt:

Data management and analysis is one of the fastest growing and most challenging areas of research and development in both academia and industry. Numerous types of applications and services have been studied and re-examined in this field resulting in this edited volume which includes chapters on effective approaches for dealing with the inherent complexity within data management and analysis. This edited volume contains practical case studies, and will appeal to students, researchers and professionals working in data management and analysis in the business, education, healthcare, and bioinformatics areas.

Collaboration in a Data Rich World

Collaboration in a Data Rich World
Author: Luis M. Camarinha-Matos,Hamideh Afsarmanesh,Rosanna Fornasiero
Publsiher: Springer
Total Pages: 777
Release: 2017-09-06
ISBN: 331965151X
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Collaboration in a Data Rich World Book Excerpt:

This book constitutes the refereed proceedings of the 18th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2017, held in Vicenza, Italy, in September 2017. The 68 revised full papers were carefully reviewed and selected from 159 submissions. They provide a comprehensive overview of identified challenges and recent advances in various collaborative network (CN) domains and their applications, with a strong focus on the following areas: collaborative models, platforms and systems for data-rich worlds; manufacturing ecosystem and collaboration in Industry 4.0; big data analytics and intelligence; risk, performance, and uncertainty in collaborative data-rich systems; semantic data/service discovery, retrieval, and composition in a collaborative data-rich world; trust and sustainability analysis in collaborative networks; value creation and social impact of collaboration in data-rich worlds; technology development platforms supporting collaborative systems; collective intelligence and collaboration in advanced/emerging applications: collaborative manufacturing and factories of the future, e-health and care, food and agribusiness, and crisis/disaster management.

Business Information Systems

Business Information Systems
Author: Witold Abramowicz,Gary Klein
Publsiher: Springer Nature
Total Pages: 448
Release: 2020-07-21
ISBN: 3030533379
Category: Computers
Language: EN, FR, DE, ES & NL

Business Information Systems Book Excerpt:

This book constitutes the proceedings of the 23rd International Conference on Business Information Systems, BIS 2020, which was planned to take place in Colorado Springs, CO, USA. Due to the COVID-19 pandemic, the conference was held fully online during June 8–10, 2020. This year's theme was "Data Science and Security in Business Information Systems". The 30 contributions presented in this volume were carefully reviewed and selected from 86 submissions. The book also contains two contributions from BIS 2019. The papers were organized in the following topical sections: Data Security, Big Data and Data Science, Artificial Intelligence, ICT Project Management, Applications, Social Media, Smart Infrastructures.

Technologies and Applications for Big Data Value

Technologies and Applications for Big Data Value
Author: Edward Curry
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN: 3030783073
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Technologies and Applications for Big Data Value Book Excerpt:

Computational Intelligence Applications in Business Intelligence and Big Data Analytics

Computational Intelligence Applications in Business Intelligence and Big Data Analytics
Author: Vijayan Sugumaran,Arun Kumar Sangaiah,Arunkumar Thangavelu
Publsiher: CRC Press
Total Pages: 362
Release: 2017-06-26
ISBN: 1351720244
Category: Computers
Language: EN, FR, DE, ES & NL

Computational Intelligence Applications in Business Intelligence and Big Data Analytics Book Excerpt:

There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big data analytics, and business intelligence. The intended audiences of this book are scientists, professionals, researchers, and academicians who deal with the new challenges and advances in the specific areas mentioned above. Designers and developers of applications in these areas can learn from other experts and colleagues through this book.

Big Data Analysis for Green Computing

Big Data Analysis for Green Computing
Author: Rohit Sharma,Dilip Kumar Sharma,Dhowmya Bhatt,Binh Thai Pham
Publsiher: CRC Press
Total Pages: 186
Release: 2021-10-29
ISBN: 1000481778
Category: Computers
Language: EN, FR, DE, ES & NL

Big Data Analysis for Green Computing Book Excerpt:

This book focuses on big data in business intelligence, data management, machine learning, cloud computing, and smart cities. It also provides an interdisciplinary platform to present and discuss recent innovations, trends, and concerns in the fields of big data and analytics. Big Data Analysis for Green Computing: Concepts and Applications presents the latest technologies and covers the major challenges, issues, and advances of big data and data analytics in green computing. It explores basic as well as high-level concepts. It also includes the use of machine learning using big data and discusses advanced system implementation for smart cities. The book is intended for business and management educators, management researchers, doctoral scholars, university professors, policymakers, and higher academic research organizations.

Big Data Concepts Theories and Applications

Big Data Concepts  Theories  and Applications
Author: Shui Yu,Song Guo
Publsiher: Springer
Total Pages: 437
Release: 2016-03-03
ISBN: 3319277634
Category: Computers
Language: EN, FR, DE, ES & NL

Big Data Concepts Theories and Applications Book Excerpt:

This book covers three major parts of Big Data: concepts, theories and applications. Written by world-renowned leaders in Big Data, this book explores the problems, possible solutions and directions for Big Data in research and practice. It also focuses on high level concepts such as definitions of Big Data from different angles; surveys in research and applications; and existing tools, mechanisms, and systems in practice. Each chapter is independent from the other chapters, allowing users to read any chapter directly. After examining the practical side of Big Data, this book presents theoretical perspectives. The theoretical research ranges from Big Data representation, modeling and topology to distribution and dimension reducing. Chapters also investigate the many disciplines that involve Big Data, such as statistics, data mining, machine learning, networking, algorithms, security and differential geometry. The last section of this book introduces Big Data applications from different communities, such as business, engineering and science. Big Data Concepts, Theories and Applications is designed as a reference for researchers and advanced level students in computer science, electrical engineering and mathematics. Practitioners who focus on information systems, big data, data mining, business analysis and other related fields will also find this material valuable.

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
ISBN: 1522531432
Category: Computers
Language: EN, FR, DE, ES & NL

Handbook of Research on Big Data Storage and Visualization Techniques Book Excerpt:

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.

Digital Transformation of Enterprise Architecture

Digital Transformation of Enterprise Architecture
Author: Vivek Kale
Publsiher: CRC Press
Total Pages: 520
Release: 2019-07-25
ISBN: 1351029126
Category: Mathematics
Language: EN, FR, DE, ES & NL

Digital Transformation of Enterprise Architecture Book Excerpt:

"In this book, Vivek Kale makes an important contribution to the theory and practice of enterprise architecture ... this book captures the breadth and depth of information that a modern enterprise architecture must address to effectively support an agile enterprise. This book should have a place in every practicing architect's library." —John D. McDowall, Author of Complex Enterprise Architecture Digital Transformation of Enterprise Architecture is the first book to propose Enterprise Architecture (EA) as the most important element (after Business Models) for digital transformation of enterprises. This book makes digital transformation more tangible by showing the rationale and typical technologies associated with it, and these technologies in turn reveal the essence of digital transformation. This book would be useful for analysts, designers and developers of future-ready agile application systems. This book proposes that it is the perennial quest for interoperability & portability, scalability, availability, etc., that has directed and driven the evolution of the IT/IS industry in the past 50 years. It is this very quest that has led to the emergence of technologies like service-oriented, cloud, and big data computing. In addition to the conventional attributes of EA like interoperability, scalability and availability, this book identifies additional attributes of mobility, ubiquity, security, analyticity, and usability. This pragmatic book: Identifies three parts effort for any digital transformation: Business Models, Enterprise Architectures and Enterprise Processes. Describes eight attributes of EA: interoperability, scalability, availability, mobility, ubiquity, security, analyticity, and usability. Explains the corresponding technologies of service-oriented, cloud, big data, context-aware, Internet of Things (IoT), blockchain, soft, and interactive computing. Briefs on auxiliary technologies like integration, virtualization, replication, spatio-temporal databases, embedded systems, cryptography, data mining, and interactive interfaces that are essential for digital transformation of enterprise architecture. Introduces interactive interfaces like voice, gaze, gesture and 3D interfaces. Provides an overview of blockchain computing, soft computing, and customer interaction systems. Digital Transformation of Enterprise Architecture proposes that to withstand the disruptive digital storms of the future, enterprises must bring about digital transformation, i.e. a transformation that affects an exponential change (amplification or attenuation) in any aspect of the constituent attributes of EA. It proposes that each of these technologies (service-oriented, cloud, big data, context-aware, IoT, blockchain, soft, and interactive computing) bring about digital transformation of the corresponding EA attribute viz. interoperability, scalability, availability, mobility, ubiquity, security, analyticity, and usability.

Data Mining

Data Mining
Author: Ciza Thomas
Publsiher: BoD – Books on Demand
Total Pages: 190
Release: 2018-08-22
ISBN: 1789235960
Category: Computers
Language: EN, FR, DE, ES & NL

Data Mining Book Excerpt:

This book on data mining explores a broad set of ideas and presents some of the state-of-the-art research in this field. The book is triggered by pervasive applications that retrieve knowledge from real-world big data. Data mining finds applications in the entire spectrum of science and technology including basic sciences to life sciences and medicine, to social, economic, and cognitive sciences, to engineering and computers. The chapters discuss various applications and research frontiers in data mining with algorithms and implementation details for use in real-world. This can be through characterization, classification, discrimination, anomaly detection, association, clustering, trend or evolution prediction, etc. The intended audience of this book will mainly consist of researchers, research students, practitioners, data analysts, and business professionals who seek information on the various data mining techniques and their applications.

Software Engineering in IoT Big Data Cloud and Mobile Computing

Software Engineering in IoT  Big Data  Cloud and Mobile Computing
Author: Haengkon Kim,Roger Lee
Publsiher: Springer Nature
Total Pages: 225
Release: 2021
ISBN: 3030647730
Category: Big data
Language: EN, FR, DE, ES & NL

Software Engineering in IoT Big Data Cloud and Mobile Computing Book Excerpt:

This edited book presents scientific results of the International Semi-Virtual Workshop on Software Engineering in IoT, Big data, Cloud and Mobile Computing (SE-ICBM 2020) which was held on October 15, 2020, at Soongsil University, Seoul, Korea. The aim of this workshop was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. The workshop organizers selected the best papers from those papers accepted for presentation at the workshop. The papers were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review. From this second round of review, 17 of the conference's most promising papers are then published in this Springer (SCI) book and not the conference proceedings. We impatiently await the important contributions that we know these authors will bring to the field of computer and information science.

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
ISBN: 1430262931
Category: Computers
Language: EN, FR, DE, ES & NL

Big Data Application Architecture Q A Book Excerpt:

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.

Handbook of Research on Cloud Infrastructures for Big Data Analytics

Handbook of Research on Cloud Infrastructures for Big Data Analytics
Author: Raj, Pethuru
Publsiher: IGI Global
Total Pages: 570
Release: 2014-03-31
ISBN: 1466658657
Category: Computers
Language: EN, FR, DE, ES & NL

Handbook of Research on Cloud Infrastructures for Big Data Analytics Book Excerpt:

Clouds are being positioned as the next-generation consolidated, centralized, yet federated IT infrastructure for hosting all kinds of IT platforms and for deploying, maintaining, and managing a wider variety of personal, as well as professional applications and services. Handbook of Research on Cloud Infrastructures for Big Data Analytics focuses exclusively on the topic of cloud-sponsored big data analytics for creating flexible and futuristic organizations. This book helps researchers and practitioners, as well as business entrepreneurs, to make informed decisions and consider appropriate action to simplify and streamline the arduous journey towards smarter enterprises.

The Human Element of Big Data

The Human Element of Big Data
Author: Geetam S. Tomar,Narendra S. Chaudhari,Robin Singh Bhadoria,Ganesh Chandra Deka
Publsiher: CRC Press
Total Pages: 351
Release: 2016-10-26
ISBN: 149875418X
Category: Business & Economics
Language: EN, FR, DE, ES & NL

The Human Element of Big Data Book Excerpt:

The proposed book talks about the participation of human in Big Data.How human as a component of system can help in making the decision process easier and vibrant.It studies the basic build structure for big data and also includes advanced research topics.In the field of Biological sciences, it comprises genomic and proteomic data also. The book swaps traditional data management techniques with more robust and vibrant methodologies that focus on current requirement and demand through human computer interfacing in order to cope up with present business demand. Overall, the book is divided in to five parts where each part contains 4-5 chapters on versatile domain with human side of Big Data.

Big Data Processing Using Spark in Cloud

Big Data Processing Using Spark in Cloud
Author: Mamta Mittal,Valentina E. Balas,Lalit Mohan Goyal,Raghvendra Kumar
Publsiher: Springer
Total Pages: 264
Release: 2018-06-16
ISBN: 9811305501
Category: Computers
Language: EN, FR, DE, ES & NL

Big Data Processing Using Spark in Cloud Book Excerpt:

The book describes the emergence of big data technologies and the role of Spark in the entire big data stack. It compares Spark and Hadoop and identifies the shortcomings of Hadoop that have been overcome by Spark. The book mainly focuses on the in-depth architecture of Spark and our understanding of Spark RDDs and how RDD complements big data’s immutable nature, and solves it with lazy evaluation, cacheable and type inference. It also addresses advanced topics in Spark, starting with the basics of Scala and the core Spark framework, and exploring Spark data frames, machine learning using Mllib, graph analytics using Graph X and real-time processing with Apache Kafka, AWS Kenisis, and Azure Event Hub. It then goes on to investigate Spark using PySpark and R. Focusing on the current big data stack, the book examines the interaction with current big data tools, with Spark being the core processing layer for all types of data. The book is intended for data engineers and scientists working on massive datasets and big data technologies in the cloud. In addition to industry professionals, it is helpful for aspiring data processing professionals and students working in big data processing and cloud computing environments.