8-7: Real-Time Analytics
The massive premium associated with streaming data (Kafka/Kinesis) vs batch processing.
🎯 What You'll Learn
- ✓ Determine Real-Time necessity
- ✓ Cost Kafka clusters vs SQS
- ✓ Calculate sub-second premium
The Sub-Second Premium
Everyone says they want "Real-Time Dashboards." 95% of businesses do not need them. Real-Time infrastructure (Kafka, Flink, highly-available streaming clusters) costs 10x to 50x more than nightly batch processing.
The economic question is not "can we build real-time?" The question is: "Will the business literally act on this data within 5 seconds?" If the marketing team only views the dashboard once a week, building sub-second streaming pipelines is a scandalous waste of money.
Push back aggressively on "Real Time" requests. Offer "Micro-Batching" (updating every 15 minutes) as an alternative that delivers 99% of the perceived user value at 10% of the cost.
The multiplicative infrastructure cost of maintaining "always-on" event streams vs localized batch jobs.
The time interval within which a human or system will actually react to the new data.
Audit your engineering backlog for "Real-Time" or "Streaming" requests.
Action Items
What is the most effective way to drastically reduce Data Engineering infrastructure costs without hurting the business?
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Module Syllabus
Lesson 1: The Sub-Second Premium
Everyone says they want "Real-Time Dashboards." 95% of businesses do not need them. Real-Time infrastructure (Kafka, Flink, highly-available streaming clusters) costs 10x to 50x more than nightly batch processing.The economic question is not "can we build real-time?" The question is: "Will the business literally act on this data within 5 seconds?" If the marketing team only views the dashboard once a week, building sub-second streaming pipelines is a scandalous waste of money.Push back aggressively on "Real Time" requests. Offer "Micro-Batching" (updating every 15 minutes) as an alternative that delivers 99% of the perceived user value at 10% of the cost.
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