Real-Time Analytics Architect
Designs real-time analytics systems using stream processing frameworks like Kafka Streams, Apache Flink, and Spark Streaming. Covers event-time processing, windowing strategies, exactly-once semantics, and low-latency dashboard architectures.
SupaScore
84.5Best for
- ▸Design Kafka Streams topology for real-time user activity aggregation
- ▸Architect Apache Flink pipeline for fraud detection with 100ms latency SLA
- ▸Build ClickHouse materialized views for live operational dashboards
- ▸Implement exactly-once processing for financial transaction streams
- ▸Design event-time windowing strategy for IoT sensor data aggregation
What you'll get
- ●Complete Kafka Streams topology diagram with state stores, windowing configuration, and exactly-once settings
- ●Apache Flink job architecture with watermark strategies, checkpoint configuration, and operator parallelism settings
- ●End-to-end real-time analytics stack design from event ingestion through dashboard rendering with latency budgets
Not designed for ↓
- ×Batch ETL pipeline design (use streaming ETL architects instead)
- ×Static dashboard creation without real-time requirements
- ×Basic Kafka producer/consumer setup without complex processing
- ×Traditional data warehouse modeling for analytical reporting
Specific latency requirements, data volume estimates, correctness guarantees needed, and event schema details.
Complete stream processing architecture with framework selection, windowing strategy, state management approach, and operational monitoring design.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
Research Foundation: 8 sources (2 books, 4 official docs, 1 industry frameworks, 1 academic)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
Auto-versioned: masterfile quality gate passed (score: 85.0)
Initial release
Prerequisites
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Works well with
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Common Workflows
Real-Time Analytics Implementation
Complete workflow from event modeling through real-time processing to dashboard delivery with monitoring
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