Data Analysis in the Cloud

Table of contents

1. Cover
2. Title page
3. Table of Contents
4. Copyright
5. Dedication
6. Preface
7. Chapter 1: Introduction to Data Mining
   1. Abstract
   2. 1.1. Data mining concepts
   3. 1.2. Parallel and distributed data mining
   4. 1.3. Summary
8. Chapter 2: Introduction to Cloud Computing
   1. Abstract
   2. 2.1. Cloud computing: definition, models, and architectures
   3. 2.2. Cloud computing systems for data-intensive applications
   4. 2.3. Summary
9. Chapter 3: Models and Techniques for Cloud-Based Data Analysis
   1. Abstracts
   2. 3.1. MapReduce for data analysis
   3. 3.2. Data analysis workflows
   4. 3.3. NoSQL models for data analytics
   5. 3.4. Summary
10. Chapter 4: Designing and Supporting Scalable Data Analytics
    1. Abstract
    2. 4.1. Data analysis systems for clouds
    3. 4.2. How to design a scalable data analysis framework in clouds
    4. 4.3. Programming workflow-based data analysis
    5. 4.4. Data analysis case studies
    6. 4.5. Summary
11. Chapter 5: Research Trends in Big Data Analysis
    1. Abstract
    2. 5.1. Data-intensive exascale computing
    3. 5.2. Massive social network analysis
    4. 5.3. Key research areas
    5. 5.4. Summary