Title
by Himanshu Shah, Nitin Sawant
Big Data Application Architecture Q&A: A Problem - Solution Approach
- Title
- Contents at a Glance
- Contents
- About the Authors
- About the Technical Reviewer
- Acknowledgments
- Introduction
- CHAPTER 1: Big Data Introduction
- Why Big Data
- Aspects of Big Data
- How Big Data Differs from Traditional BI
- How Big Is the Opportunity?
- Deriving Insight from Data
- Cloud Enabled Big Data
- Structured vs. Unstructured Data
- Analytics in the Big Data World
- Big Data Challenges
- Defining a Reference Architecture
- Need for Architecture Patterns
- Summary
- CHAPTER 2: Big Data Application Architecture
- CHAPTER 3: Big Data Ingestion and Streaming Patterns
- CHAPTER 4: Big Data Storage Patterns
- CHAPTER 5: Big Data Access Patterns
- CHAPTER 6: Data Discovery and Analysis Patterns
- CHAPTER 7: Big Data Visualization Patterns
- CHAPTER 8: Big Data Deployment Patterns
- CHAPTER 9: Big Data NFRs
- CHAPTER 10: Big Data Case Studies
- Case Study: Mainframe to Hadoop-Based NoSQL Database
- Case Study: Geo-Redundancy and Near-Real-Time Data Ingestion
- Case Study: Recommendation Engine
- Case Study: Video-Streaming Analytics
- Case Study: Sentiment Analysis and Log Processing
- Case Study: Real-Time Traffic Monitoring
- Case Study: Data Exploration for Suspicious Behavior on a Stock Exchange
- Case Study: Environment Change Detection
- Summary
- CHAPTER 11: Resources, References, and Tools
- Big Data Product Catalog
- Hadoop Distributions
- In-memory Hadoop
- Hadoop Alternatives
- Hadoop SQL Interfaces
- Ingestion tools
- Map Reduce alternatives
- Cloud Options
- Table-Style Database Management Services
- NoSQL Databases
- In-Memory Big Data Management Systems
- DataSets
- Data Discovery
- Visualization
- Analytics Tools
- Data Integration Tools
- Summary
- APPENDIX A: References and Bibliography
- Index
Big Data Application
Architecture Q & A
A Problem-Solution Approach
Nitin Sawant
Himanshu Shah
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