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Artemiy Kozyr ✅ Data Engineering in the AI Era: Building a Robust Foundation for AI Applications Слайды доклада: https://drive.google.com/file/d/1U3vm2jZlz9GHlM0dsRhmUwZQzM9rgS8k/view?usp=sharing Запись на YouTube скоро будет 🔸 Основные секции доклада: 🟡 BUSINESS DELIVERABLES…
🔵 DATA INGESTION

DATA INGESTION: EVENT TRACKING

📊 I have chosen Snowplow for event tracking

— Real-time event tracking: Capture and process events in real-time.
— Customizable event schema: Define custom event schemas to fit your specific needs.
— Cross-platform tracking: Track events across web, mobile, and server-side applications.
— Scalability: Handle large volumes of data efficiently.
— Open-source: The core technology is open-source, allowing for customization and flexibility.
— Data ownership: Full control and ownership of your data.
— Integration: Integrates with various data warehouses and analytics tools.
— Data enrichment: Enrich raw event data with additional context.
— Alternatively: Jitsu, Rudderstack

Setup hints for Snowplow event tracking

🎯 Only track relevant information
📚 Use schema registry (Iglu or Static)
⚖️ Handle both GOOD and BAD event streams
🏷 Assign App & Tracker information
🐞 Use Snowplow Micro for debugging purposes
🚨 Set up Monitoring and Alerting


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