Pro Hadoop Data Analytics

Part I. Concepts

1. Overview: Building Data Analytic Systems with Hadoop
Kerry Koitzsch

2. A Scala and Python Refresher
Kerry Koitzsch

3. Standard Toolkits for Hadoop and Analytics
Kerry Koitzsch

4. Relational, NoSQL, and Graph Databases
Kerry Koitzsch

5. Data Pipelines and How to Construct Them
Kerry Koitzsch

6. Advanced Search Techniques with Hadoop, Lucene, and Solr
Kerry Koitzsch

Part II. Architectures and Algorithms

7. An Overview of Analytical Techniques and Algorithms
Kerry Koitzsch

8. Rule Engines, System Control, and System Orchestration
Kerry Koitzsch

9. Putting It All Together: Designing a Complete Analytical System
Kerry Koitzsch

Part III. Components and Systems

10. Data Visualizers: Seeing and Interacting with the Analysis
Kerry Koitzsch

Part IV. Case Studies and Applications

11. A Case Study in Bioinformatics: Analyzing Microscope Slide Data
Kerry Koitzsch

12. A Bayesian Analysis Component: Identifying Credit Card Fraud
Kerry Koitzsch

13. Searching for Oil: Geographical Data Analysis with Apache Mahout
Kerry Koitzsch

14. “Image As Big Data” Systems: Some Case Studies
Kerry Koitzsch

15. Building a General Purpose Data Pipeline
Kerry Koitzsch

16. Conclusions and the Future of Big Data Analysis
Kerry Koitzsch

Keywords: Computer Science, Big Data, Programming Techniques, Programming Languages, Compilers, Interpreters, Data Mining and Knowledge Discovery