Detailed Course Outline
1. Introduction to Big Match for Apache Hadoop - What is Big Match - How Big Match Works - Big Match Components - Big Match Architecture 2. Big Match Data Model Definition - Members - Attribute Types - Member Attributes - Sources - Information Sources 3. PME Algorithm - Standardization - Bucketing - Comparison Functions 4. Bucket Analysis - Bucket Optimization - Bucket Concerns 5. Weights - String Weights - Numeric Weights - Multi-dimensional Weights - Troubleshooting Weights 6. HBase Tables - HBase concepts - Big Match commands - Big Match Tables (.pmebktidx, .pmemdmidx, .pmeentidx) - Best Practices 7. BigMatch Applications - PME Derive - PME Compare - PME Link - PME Analysis