Enterprise Big Data Engineering, Analytics, and Management by Martin Atzmueller
The significance of big data can be observed in any decision-making process as it is often used for forecasting and predictive analytics. Additionally, big data can be used to build a holistic view of an enterprise through a collection and analysis of large data sets retrospectively. As the data deluge deepens, new methods for analyzing, comprehending, and making use of big data become necessary. Enterprise Big Data Engineering, Analytics, and Management presents novel methodologies and practical approaches to engineering, managing, and analyzing large-scale data sets with a focus on enterprise applications and implementation. Featuring essential big data concepts including data mining, artificial intelligence, and information extraction, this publication provides a platform for retargeting the current research available in the field. Data analysts, IT professionals, researchers, and graduate-level students will find the timely research presented in this publication essential to furthering their knowledge in the field.-
Business Intelligence Applications and the Web
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Remote Workforce Training
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Cases on Enterprise Information Systems and Implementation Stages
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Data Envelopment Analysis and Effective Performance Assessment
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Cloud Computing Technologies for Green Enterprises
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Handbook of Research on Intelligent Techniques and Modeling Applications in Marketing Analytics
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Strategic IT Governance and Alignment in Business Settings
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Eye-Tracking Technology Applications in Educational Research
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Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics
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Electronic Supply Network Coordination in Intelligent and Dynamic Environments
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Maximizing Business Performance and Efficiency through Intelligent Systems
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Applied Big Data Analytics in Operations Management
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Maximizing Information System Availability Through Bayesian Belief Network Approaches
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Enterprise Information Systems for Business Integration in SMEs
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Enterprise Information Systems Design, Implementation and Management
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Applying Predictive Analytics Within the Service Sector
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Advanced Fashion Technology and Operations Management
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Business Technologies in Contemporary Organizations
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Strategic Information Systems and Technologies in Modern Organizations
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Automated Enterprise Systems for Maximizing Business Performance
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Business Analytics and Cyber Security Management in Organizations
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Uncovering Essential Software Artifacts through Business Process Archeology
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Information Systems and Technology for Organizations in a Networked Society
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Improving Organizational Effectiveness with Enterprise Information Systems
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Managing Enterprise Information Technology Acquisitions
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Pervasive Computing for Business
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Feral Information Systems Development
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Effects of IT on Enterprise Architecture, Governance, and Growth
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Smart Technology Applications in Business Environments
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Strategic Utilization of Information Systems in Small Business
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Exploring Enterprise Service Bus in the Service-Oriented Architecture Paradigm
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Frameworks of IT Prosumption for Business Development
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A Systemic Perspective to Managing Complexity with Enterprise Architecture
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Business Transformation and Sustainability through Cloud System Implementation
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Handbook of Research on Organizational Transformations through Big Data Analytics
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Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence
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Technology, Innovation, and Enterprise Transformation
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Enterprise Management Strategies in the Era of Cloud Computing
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Business Intelligence and Agile Methodologies for Knowledge-Based Organizations
| SKU | Unavailable |
| ISBN 13 | 9781522502937 |
| ISBN 10 | 1522502939 |
| Title | Enterprise Big Data Engineering, Analytics, and Management |
| Author | Martin Atzmueller |
| Series | Advances In Business Information Systems And Analytics |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | IGI Global |
| Year published | 2016-06-01 |
| Number of pages | 300 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |