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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
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Classroom Contents
AI-Powered Streaming Analytics for Real-Time Customer Experience
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- 1 Intro
- 2 Streaming Data Management
- 3 Intelligent Streaming Analytics
- 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 Case Study. Streaming Analytics at Ovo, a leading Indonesian financial services platform Objective: Create better customer engagement with targeted real-time campaigns
- 6 Event-centric Data Processing - Methodology The value of most events is multiplied by the context
- 7 Customer Expectations
- 8 Informatica Enterprise Streaming and Ingestion
- 9 Cloud Mass Ingestion Streaming Service
- 10 Decipher Data With CLAIRE
- 11 Intelligent Structure Discovery in Action
- 12 Spark Structured Streaming-Overview
- 13 Motivation for Structured Streaming
- 14 Spark Structured Streaming Support
- 15 Spark Structured Streaming vs Dstream
- 16 Processing with Dstream
- 17 Processing with Structured Streaming State Store maintained by Spark
- 18 Enterprise Streaming & Ingestion - Reference Architecture
- 19 Demo Scenario
- 20 Summary
