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Data Engineering & MLOps

Real-Time & Streaming Analytics

We build real-time data systems that let you act the moment things happen — streaming ingestion with Kafka, processing with Flink or Spark, and low-latency serving for dashboards and applications. Perfect for monitoring, personalization, and event-driven decisions.

Capabilities

  • Kafka & event streaming
  • Flink / Spark stream processing
  • Real-time dashboards & alerts
  • Event-driven architecture
  • Low-latency data serving

What you get

  • Streaming data pipeline
  • Real-time processing jobs
  • Live dashboards & alerts
  • Monitoring & scaling setup
Where it delivers

Common use cases

Real-time monitoring & alerting

Live personalization

Event-driven applications

Part of Data Engineering & MLOps

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Data Engineering & MLOpsAll services

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