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Index
Cover
Frontmatter
1. Concepts
Part Frontmatter
1. Overview: Building Data Analytic Systems with Hadoop
2. A Scala and Python Refresher
3. Standard Toolkits for Hadoop and Analytics
4. Relational, NoSQL, and Graph Databases
5. Data Pipelines and How to Construct Them
6. Advanced Search Techniques with Hadoop, Lucene, and Solr
2. Architectures and Algorithms
Part Frontmatter
7. An Overview of Analytical Techniques and Algorithms
8. Rule Engines, System Control, and System Orchestration
9. Putting It All Together: Designing a Complete Analytical System
3. Components and Systems
Part Frontmatter
10. Data Visualizers: Seeing and Interacting with the Analysis
4. Case Studies and Applications
Part Frontmatter
11. A Case Study in Bioinformatics: Analyzing Microscope Slide Data
12. A Bayesian Analysis Component: Identifying Credit Card Fraud
13. Searching for Oil: Geographical Data Analysis with Apache Mahout
14. “Image As Big Data” Systems: Some Case Studies
15. Building a General Purpose Data Pipeline
16. Conclusions and the Future of Big Data Analysis
Backmatter
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