Handbook of Big Data Technologies

Oversized hardcover, xiii + 895 pages, NOT ex-library. Interior is clean and bright throughout, with unmarked text, free of inscriptions and stamps, firmly bound. Gentle external handling wear. Boards show scratches and short creases / bumps to edges. Issued without a dust jacket. Price barcode sticker on the back. -- Contents: Part I Fundamentals of Big Data Processing -- Big Data Storage and Data Models / Dongyao Wu, Sherif Sakr & Liming Zhu; Big Data Programming Models / Dongyao Wu; Programming Platforms for Big Data Analysis / Jiannong Cao, Shailey Chawla, Yuqi Wang & Hanqing Wu; Big Data Analysis on Clouds / Loris Belcastro, Fabrizio Marozzo, Domenico Talia & Paolo Trunfio; Data Organization and Curation in Big Data / Mohamed Y. Eltabakh; Big Data Query Engines / Mohamed A. Soliman; Large-Scale Data Stream Processing Systems / Paris Carbone; Part II Semantic Big Data Management -- Semantic Data Integration / Michelle Cheatham & Catia Pesquita; Linked Data Management / Manfred Hauswirth; Non-native RDF Storage Engines / Manfred Hauwirth; Exploratory Ad-Hoc Analytics for Big Data / Julian Eberius, Maik Thiele & Wolfgang Lehner; Pattern Matching Over Linked Data Streams / Yongrui Qin & Quan Z. Sheng; Searching the Big Data: Practices and Experiences in Efficiently Querying Knowledge Bases / Wei Emma Zhang & Quan Z. Sheng; Part III Big Graph Analytics -- Management and Analysis of Big Graph Data: Current Systems and Open Challenges / Martin Junghanns, André Petermann, Martin Neumann & Erhard Rahm; Similarity Search in Large-Scale Graph Databases / Peixiang Zhao; Big-Graphs: Querying, Mining, and Beyond / Arijit Khan & Sayan Ranu; Link and Graph Mining in the Big Data Era / Ana Paula Appel & Luis G. Moyano; Granular Social Network: Model and Applications / Sankar K. Pal & Suman Kundu; Part IV Big Data Applications -- Big Data, IoT and Semantics / Beniamino di Martino, Giuseppina Cretella & Antonio Esposito; SCADA Systems in the Cloud / Philip Church; Quantitative Data Analysis in Finance / Xiang Shi, Peng Zhang & Samee U. Khan; Emerging Cost Effective Big Data Architectures / K. Ashwin Kumar; Bringing High Performance Computing to Big Data Algorithms / H. Anzt; Cognitive Computing: Where Big Data Is Driving Us / Ana Paula Appel, Heloisa Candello & Fábio Latuf Gandour; Privacy-Preserving Record Linkage for Big Data: Current Approaches and Research Challenges / Dinusha Vatsalan, Ziad Sehili, Peter Christen & Erhard Rahm -- This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Chapters are authored by international leading experts in the field, and have been reviewed and revised for maximum reader value. The volume consists of twenty-five chapters organized into four main parts. Part one covers the fundamental concepts of Big Data technologies including data curation mechanisms, data models, storage models, programming models and programming platforms. It also dives into the details of implementing Big SQL query engines and big stream processing systems. Part Two focuses on the semantic aspects of Big Data management including data integration and exploratory ad hoc analysis in addition to structured querying and pattern matching techniques. Part Three presents a comprehensive overview of large scale graph processing. It covers the most recent research in large scale graph processing platforms, introducing several scalable graph querying and mining mechanisms in domains such as social networks. Part Four details novel applications that have been made possible by the rapid emergence of Big Data technologies such as Internet-of-Things (IOT), Cognitive Computing and SCADA Systems. All parts of the book discuss open research problems, including potential opportunities, that have arisen from the rapid progress of Big Data technologies and the associated increasing requirements of application domains.…