8. Very Important Modeling Considerations
• Identity, identity, identity
• Start with core events
• Verb+Activity
• Context aids richness
• Specificity saves you later
9. Some Data Modeling Steps
• Model Data
• Make Example Data
• Cross Check Data Model with Developer/IT
• Choose Test Dataset
• Transform & Explore Test Dataset
11. Moving Data, Most to Least Preferred
• Extract, Transform, and Load
• full access APIs via Zapier or similar
• Plugin
• full access API connector
• synchronization portal for individually authorized
APIs
12. Very Important Technical Tidbits
• Don’t run stuff in web browsers
• Queue (SQS, perhaps)
• Idempotency by setting Timestamp & Statement ID
• Don’t discard errors
• Use batch & concurrent operations, but set limits
• Edge cases matter
13. Some Technical Steps
• Introduce errors at each stage
• Test on all available historical data
• Deploy!
• Define & test automated monitoring procedures