Beyond Databases Architectures And Structures Facing The Challenges Of Data Proliferation And Growing Variety

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Beyond Databases Architectures And Structures Facing The Challenges Of Data Proliferation And Growing Variety
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Author : Stanisław Kozielski
language : en
Publisher: Springer
Release Date : 2018-09-07
Beyond Databases Architectures And Structures Facing The Challenges Of Data Proliferation And Growing Variety written by Stanisław Kozielski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-07 with Computers categories.
This book constitutes the refereed proceedings of the 14th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2018, held in Poznań, Poland, in September 2018, during the IFIP World Computer Congress. It consists of 38 carefully reviewed papers selected from 102 submissions. The papers are organized in topical sections, namely big data and cloud computing; architectures, structures and algorithms for efficient data processing; artificial intelligence, data mining and knowledge discovery; text mining, natural language processing, ontologies and semantic web; image analysis and multimedia mining.
The Semantic Web Iswc 2024
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Author : Gianluca Demartini
language : en
Publisher: Springer Nature
Release Date : 2024-11-26
The Semantic Web Iswc 2024 written by Gianluca Demartini and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-26 with Computers categories.
This three-volume set constitutes the proceedings of the 23rd International Semantic Web Conference, ISWC 2023, held in Hanover, MD, USA, during November 11-15, 2024. The 44 full papers presented in these proceedings were carefully reviewed and selected from 155 submissions. This conference focuses on research on the Semantic Web, including benchmarks, knowledge graphs, tools and vocabularies. Chapters 10 and 11 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Basis Data Dengan Postgresql
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Author : Suwanto Raharjo
language : id
Publisher: Penerbit Andi
Release Date : 2025-01-21
Basis Data Dengan Postgresql written by Suwanto Raharjo and has been published by Penerbit Andi this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-21 with Computers categories.
Buku ini diawali dengan pendahuluan yang memberikan gambaran umum tentang Sistem Manajemen Basis Data Relasional (SMBD), mencakup konsep dasar, model data relasional, definisi data, integritas data, dan pembatas domain. Kemudian, buku ini berfokus pada PostgreSQL, salah satu sistem basis data relasional yang populer, dengan panduan rinci tentang instalasi, menjalankan, dan menghubungkan PostgreSQL di Windows. Selanjutnya, buku ini mengulas bahasa query yang digunakan dalam basis data relasional, termasuk aljabar relasional dan SQL, serta aplikasinya dalam PostgreSQL. Pembaca juga akan belajar tentang definisi data, meliputi pembuatan basis data, role, skema, dan tabel, serta cara mengubah atribut dan menghapus objek basis data. Bagian akhir buku ini membahas manipulasi data, penggunaan SELECT dengan kondisi, dan seleksi dengan lebih dari satu perintah, yang mencakup subquery, UNION, INTERSECT, EXCEPT, JOIN, dan ekspresi tabel umum (CTE).
Big Data In Complex Systems
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Author : Aboul Ella Hassanien
language : en
Publisher: Springer
Release Date : 2015-01-02
Big Data In Complex Systems written by Aboul Ella Hassanien and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-02 with Technology & Engineering categories.
This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Therefore transforming such content into a structured format for later analysis is a major challenge. Data analysis, organization, retrieval, and modeling are other foundational challenges treated in this book. The material of this book will be useful for researchers and practitioners in the field of big data as well as advanced undergraduate and graduate students. Each of the 17 chapters in the book opens with a chapter abstract and key terms list. The chapters are organized along the lines of problem description, related works, and analysis of the results and comparisons are provided whenever feasible.
Digital And Social Media Marketing
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Author : Nripendra P. Rana
language : en
Publisher: Springer Nature
Release Date : 2019-11-11
Digital And Social Media Marketing written by Nripendra P. Rana and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-11 with Business & Economics categories.
This book examines issues and implications of digital and social media marketing for emerging markets. These markets necessitate substantial adaptations of developed theories and approaches employed in the Western world. The book investigates problems specific to emerging markets, while identifying new theoretical constructs and practical applications of digital marketing. It addresses topics such as electronic word of mouth (eWOM), demographic differences in digital marketing, mobile marketing, search engine advertising, among others. A radical increase in both temporal and geographical reach is empowering consumers to exert influence on brands, products, and services. Information and Communication Technologies (ICTs) and digital media are having a significant impact on the way people communicate and fulfil their socio-economic, emotional and material needs. These technologies are also being harnessed by businesses for various purposes including distribution and selling of goods, retailing of consumer services, customer relationship management, and influencing consumer behaviour by employing digital marketing practices. This book considers this, as it examines the practice and research related to digital and social media marketing.
Big Data Application Architecture Q A
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Author : Nitin Sawant
language : en
Publisher: Apress
Release Date : 2014-01-24
Big Data Application Architecture Q A written by Nitin Sawant and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-24 with Computers categories.
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.
Building Data Science Teams
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Author : DJ Patil
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2011-09-15
Building Data Science Teams written by DJ Patil and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-15 with Computers categories.
As data science evolves to become a business necessity, the importance of assembling a strong and innovative data teams grows. In this in-depth report, data scientist DJ Patil explains the skills, perspectives, tools and processes that position data science teams for success. Topics include: What it means to be "data driven." The unique roles of data scientists. The four essential qualities of data scientists. Patil's first-hand experience building the LinkedIn data science team.
Big Data
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Author : Min Chen
language : en
Publisher: Springer
Release Date : 2014-05-05
Big Data written by Min Chen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-05 with Computers categories.
This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical challenges and reviews the latest advances. Technologies under discussion include cloud computing, Internet of Things, data centers, Hadoop and more. The authors also explore several representative applications of big data such as enterprise management, online social networks, healthcare and medical applications, collective intelligence and smart grids. This book concludes with a thoughtful discussion of possible research directions and development trends in the field. Big Data: Related Technologies, Challenges and Future Prospects is a concise yet thorough examination of this exciting area. It is designed for researchers and professionals interested in big data or related research. Advanced-level students in computer science and electrical engineering will also find this book useful.
Exploring The Boundaries Of Big Data
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Author : Bart van der Sloot
language : en
Publisher:
Release Date : 2016
Exploring The Boundaries Of Big Data written by Bart van der Sloot and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Big data categories.
In the investigation Exploring the Boundaries of Big Data The Netherlands Scientific Council for Government Policy (WRR) offers building blocks for developing a regulatory approach to Big Data.
Big Data Big Analytics
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Author : Michael Minelli
language : en
Publisher: John Wiley & Sons
Release Date : 2013-01-22
Big Data Big Analytics written by Michael Minelli and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-22 with Business & Economics categories.
Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability. The Age of Big Data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.) Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more.