Big data fundamentals : concepts, drivers & techniques

By: Erl, Thomas
Contributor(s): Buhler, Paul | Khattak, Wajid
Material type: TextTextPublisher: Tamil Nadu Pearson 2016Description: 2018pISBN: 9789332575073Subject(s): Big data. Data mining. Decision making -- Data processing. -- ComputerDDC classification: 006.312 ERL-B
Contents:
Chapter 1: Understanding Big Data 3Concepts and Terminology 5Datasets 5Data Analysis 6Data Analytics 6Descriptive Analytics 8Diagnostic Analytics 9Predictive Analytics 10Prescriptive Analytics 11Business Intelligence (BI) 12Key Performance Indicators (KPI) 12Big Data Characteristics 13Volume 14Velocity 14Variety 15Veracity 16Value 16Different Types of Data 17Structured Data 18Unstructured Data 19Semi-structured Data 19Metadata 20Case Study Background 20History 20Technical Infrastructure and Automation Environment 21Business Goals and Obstacles 22Case Study Example 24Identifying Data Characteristics 26Volume 26Velocity 26Variety 26Veracity 26Value 27Identifying Types of Data 27Chapter 2: Business Motivations and Drivers for Big Data Adoption 29Marketplace Dynamics 30Business Architecture 33Business Process Management 36Information and Communications Technology 37Data Analytics and Data Science 37Digitization 38Affordable Technology and Commodity Hardware 38Social Media 39Hyper-Connected Communities and Devices 40Cloud Computing 40Internet of Everything (IoE) 42Case Study Example 43
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Chapter 1: Understanding Big Data 3Concepts and Terminology 5Datasets 5Data Analysis 6Data Analytics 6Descriptive Analytics 8Diagnostic Analytics 9Predictive Analytics 10Prescriptive Analytics 11Business Intelligence (BI) 12Key Performance Indicators (KPI) 12Big Data Characteristics 13Volume 14Velocity 14Variety 15Veracity 16Value 16Different Types of Data 17Structured Data 18Unstructured Data 19Semi-structured Data 19Metadata 20Case Study Background 20History 20Technical Infrastructure and Automation Environment 21Business Goals and Obstacles 22Case Study Example 24Identifying Data Characteristics 26Volume 26Velocity 26Variety 26Veracity 26Value 27Identifying Types of Data 27Chapter 2: Business Motivations and Drivers for Big Data Adoption 29Marketplace Dynamics 30Business Architecture 33Business Process Management 36Information and Communications Technology 37Data Analytics and Data Science 37Digitization 38Affordable Technology and Commodity Hardware 38Social Media 39Hyper-Connected Communities and Devices 40Cloud Computing 40Internet of Everything (IoE) 42Case Study Example 43

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