Features

  • Unified Model: Supports both batch and stream processing.
  • Scalability: Automatically scales with data volume.
  • Integration: Works with other Google Cloud services.
  • Monitoring: Real-time insights into pipeline performance.

Benefits

  • Flexibility: Adapts to different data processing needs.
  • Efficiency: Optimizes resource usage and cost.
  • Simplicity: Reduces operational complexity.
  • Performance: Processes data quickly and reliably.

Use Cases

  • Real-time data analytics.
  • ETL pipelines for data warehousing.
  • Stream processing for IoT data.
  • Batch processing for large datasets.

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