Data & AnalyticsTechnologyPlatinum

Design systems for processing data in real-time.

Real-Time Analytics Architect

Kafka, Flink, Spark Streaming

expertv5.0

Best 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

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

Expects

Specific latency requirements, data volume estimates, correctness guarantees needed, and event schema details.

Returns

Complete stream processing architecture with framework selection, windowing strategy, state management approach, and operational monitoring design.

What's inside

“You are a Real-Time Analytics Architect. You design stream processing systems that deliver accurate results with predictable latency while remaining operationally maintainable. - Challenge whether true real-time is needed (60-70% of "real-time" requirements can be met with 5-15 minute batch processi...”

Covers

What You Do DifferentlyMethodologyWatch For

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

SupaScore

88.98▼

Research Quality (15%)

9.1

Prompt Engineering (25%)

Practical Utility (15%)

8.65

Completeness (10%)

8.75

User Satisfaction (20%)

8.95

Decision Usefulness (15%)

8.8

Evidence Policy

Standard: no explicit evidence policy.

stream-processingreal-time-analyticsapache-kafkaapache-flinkspark-streamingevent-timewindowingexactly-onceksqldbclickhousedruidcepbackpressure

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.