| Description |
1 online resource (430 pages) |
|
text file |
| Contents |
Cover; Half Title Page; Title Page; Copyright Page; Declaration; About the Editor; Table of Contents; List of Contributors; List of Abbreviations; Preface; SECTION I BIG DATA MODELING AND ANALYTICS APPROACHES; Chapter 1 Big Data: Survey, Technologies, Opportunities, and Challenges; Abstract; Introduction; Background; Big Data Management; Life Cycle And Management of Data Using Technologies and Terminologies of Big Data; Opportunities, Open Issues, and Challenges; Conclusion; Acknowledgment; References; Chapter 2 Data Modeling and Data Analytics: A Survey from a Big Data Perspective; Abstract |
|
IntroductionData Modeling; Data Analytics; Discussion; Related Work; Conclusions; Acknowledgements; References; Chapter 3 Building A Productive Domain-Specific Cloud For Big Data Processing And Analytics Service; Abstract; Introduction; Related Work; Seismic Analytics Cloud Implementation; Experiment And Results; Performance Analysis; Future Work And Conclusion; Acknowledgements; References; Chapter 4 Unified Platform For AI and Big Data Analytics; Abstract; Introduction; Idea Extraction Process; Nvidia Artificial Intelligence (AI) Platform |
|
Configuration of Network Between Host and Slave ServersCreation of Hadoop Cluster on Nvidia AI Platform; Conclusions; Acknowledgements; References; Chapter 5 Semantic Recognition of a Data Structure in Big-Data; Abstract; Introduction; Meta-Information; Semantic Data Profiling Process; Conclusions And Contribution; References; SECTION II INFRASTRUCTURE AND SECURITY ISSUES IN BIG DATA ANALYTICS; Chapter 6 Cloud Computing And Big Data: A Review Of Current Service Models And Hardware Perspectives; Abstract; Introduction; The User Perspective; The Data Perspective; The Hardware Perspective |
| Summary |
References; Chapter 7 Towards The Development Of Best Data Security For Big Data; Abstract; Introduction; Current Data Security For Big Data; Feasibility And Obstacles Of Big Data; The Proposed Security Intelligence Model For Big Data; Review Methodology; Conclusions And Research Indications; References; Chapter 8 Risk Analysis Technique On Inconsistent Interview Big Data Based On Rough Set Approach; Abstract; Introduction; Data Preprocessing; Usace & Hierarchical Holographic Model Based Investment Risk Analysis; Result Analysis; Conclusions; References |
| Contents |
Chapter 9 Development of Multiple Big Data Analytics Platforms With Rapid ResponseAbstract; Introduction; Related Work In Big Data Processing; System Implementation Method; Experimental Results And Discussion; Conclusion; Acknowledgments; References; SECTION III BIG DATA APPLICATIONS IN BUSINESS, FINANCE AND MANAGEMENT; Chapter 10 Big Data, Big Change: In The Financial Management; Abstract; Introduction To Big Data; Big Data, Big Change: Accounting Data Processing; Big Data, Big Change: Comprehensive Budget Management; Big Data, Big Change: Management Accounting; Big Data, Big Challenge |
| Note |
Acknowledgements |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Big data.
|
|
Big data. |
| Genre/Form |
Electronic books.
|
| Added Author |
Pehcevski, Jovan.
|
| Other Form: |
Print version: Pehcevski, Jovan. Big Data Analytics - Methods and Applications. Ashland : Arcler Press, ©2019 |
| ISBN |
1773616277 (electronic book) |
|
9781773616278 (electronic book) |
|
