AI-Powered Streaming Analytics for Real-Time Customer Experience

AI-Powered Streaming Analytics for Real-Time Customer Experience

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Motivation for Structured Streaming

13 of 20

13 of 20

Motivation for Structured Streaming

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AI-Powered Streaming Analytics for Real-Time Customer Experience

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  1. 1 Intro
  2. 2 Streaming Data Management
  3. 3 Intelligent Streaming Analytics
  4. 4 Case Study: Multi-latency data management at a large global Media & Entertainment company Objective Enhance the customer experience with chatbot on mobile app in cloud
  5. 5 Case Study. Streaming Analytics at Ovo, a leading Indonesian financial services platform Objective: Create better customer engagement with targeted real-time campaigns
  6. 6 Event-centric Data Processing - Methodology The value of most events is multiplied by the context
  7. 7 Customer Expectations
  8. 8 Informatica Enterprise Streaming and Ingestion
  9. 9 Cloud Mass Ingestion Streaming Service
  10. 10 Decipher Data With CLAIRE
  11. 11 Intelligent Structure Discovery in Action
  12. 12 Spark Structured Streaming-Overview
  13. 13 Motivation for Structured Streaming
  14. 14 Spark Structured Streaming Support
  15. 15 Spark Structured Streaming vs Dstream
  16. 16 Processing with Dstream
  17. 17 Processing with Structured Streaming State Store maintained by Spark
  18. 18 Enterprise Streaming & Ingestion - Reference Architecture
  19. 19 Demo Scenario
  20. 20 Summary

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