Big data computing : a guide for business and technology managers /: a guide for business and technology managers. (2016)

• Record Type: Book
• Further Information: Note: Author, Vivek Kale.
• Authors: Kale, Vivek
• Contents: Cover; Half Title; Title Page; Copyright Page; Dedication; Contents; List of Figures; List of Tables; Preface; Acknowledgments; Author; 1. Computing Beyond the Moore's Law Barrier While Being More Tolerant of Faults and Failures; 1.1 Moore's Law Barrier; 1.2 Types of Computer Systems; 1.2.1 Microcomputers; 1.2.2 Midrange Computers; 1.2.3 Mainframe Computers; 1.2.4 Supercomputers; 1.3 Parallel Computing; 1.3.1 Von Neumann Architectures; 1.3.2 Non-Neumann Architectures; 1.4 Parallel Processing; 1.4.1 Multiprogramming; 1.4.2 Vector Processing; 1.4.3 Symmetric Multiprocessing Systems 1.4.4 Massively Parallel Processing1.5 Fault Tolerance; 1.6 Reliability Conundrum; 1.7 Brewer's CAP Theorem; 1.8 Summary; Section I: Genesis of Big Data Computing; 2. Database Basics; 2.1 Database Management System; 2.1.1 DBMS Benefits; 2.1.2 Defining a Database Management System; 2.1.2.1 Data Models alias Database Models; 2.2 Database Models; 2.2.1 Relational Database Model; 2.2.2 Hierarchical Database Model; 2.2.3 Network Database Model; 2.2.4 Object-Oriented Database Models; 2.2.5 Comparison of Models; 2.2.5.1 Similarities; 2.2.5.2 Dissimilarities; 2.3 Database Components 2.3.1 External Level2.3.2 Conceptual Level; 2.3.3 Physical Level; 2.3.4 The Three-Schema Architecture; 2.3.4.1 Data Independence; 2.4 Database Languages and Interfaces; 2.5 Categories of Database Management Systems; 2.6 Other Databases; 2.6.1 Text Databases; 2.6.2 Multimedia Databases; 2.6.3 Temporal Databases; 2.6.4 Spatial Databases; 2.6.5 Multiple or Heterogeneous Databases; 2.6.6 Stream Databases; 2.6.7 Web Databases; 2.7 Evolution of Database Technology; 2.7.1 Distribution; 2.7.2 Performance; 2.7.2.1 Database Design for Multicore Processors; 2.7.3 Functionality; 2.8 Summary Section II: Road to Big Data Computing3. Analytics Basics; 3.1 Intelligent Analysis; 3.1.1 Intelligence Maturity Model; 3.1.1.1 Data; 3.1.1.2 Communication; 3.1.1.3 Information; 3.1.1.4 Concept; 3.1.1.5 Knowledge; 3.1.1.6 Intelligence; 3.1.1.7 Wisdom; 3.2 Decisions; 3.2.1 Types of Decisions; 3.2.2 Scope of Decisions; 3.3 Decision-Making Process; 3.4 Decision-Making Techniques; 3.4.1 Mathematical Programming; 3.4.2 Multicriteria Decision Making; 3.4.3 Case-Based Reasoning; 3.4.4 Data Warehouse and Data Mining; 3.4.5 Decision Tree; 3.4.6 Fuzzy Sets and Systems; 3.5 Analytics 3.5.1 Descriptive Analytics3.5.2 Predictive Analytics; 3.5.3 Prescriptive Analytics; 3.6 Data Science Techniques; 3.6.1 Database Systems; 3.6.2 Statistical Inference; 3.6.3 Regression and Classification; 3.6.4 Data Mining and Machine Learning; 3.6.5 Data Visualization; 3.6.6 Text Analytics; 3.6.7 Time Series and Market Research Models; 3.7 Snapshot of Data Analysis Techniques and Tasks; 3.8 Summary; 4. Data Warehousing Basics; 4.1 Relevant Database Concepts; 4.1.1 Physical Database Design; 4.2 Data Warehouse; 4.2.1 Multidimensional Model; 4.2.1.1 Data Cube
• Publisher Details: Boca Raton : Taylor & Francis, CRC Press
• Publication Date: 2016
• Extent: 1 online resource
• Subjects: 005.7; COMPUTERS / Database Management / General; Big data; Big data; COMPUTERS / Database Management / Data Mining; Electronic books
• Languages: English
• ISBNs: 9781498715348; 1498715346; 9781315354026; 1315354020
• Related ISBNs: 9781498715331; 1498715338
• Notes: Note: Includes bibliographical references and index.; Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.