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Performance

Nika platform leverages advanced data lakehouse architecture to deliver exceptional performance across all services.

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Data Lakehouse Architecture

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Unified Data Platform

  • Single Architecture: Notebooks, maps, storage, databases, and VMs all powered by one platform
  • Data Lakehouse: Combines data lake flexibility with data warehouse performance
  • Unified Access: Seamless data access across all Nika services

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Scalable Infrastructure

  • 100TB+ Data Hosting: Standard capacity for any analysis workload
  • PB-Scale Enterprise: Petabyte-scale support for large enterprise workloads
  • Auto-Scaling: Dynamic resource allocation based on demand

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Performance Features

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High-Performance Computing

  • GPU Acceleration: NVIDIA T4 and H100 GPU support for ML workloads
  • Multi-Core Processing: Up to 30 CPU cores for parallel processing
  • Memory Optimization: Up to 156GB RAM for large dataset handling

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Data Processing

  • Streaming Execution: Real-time data processing and analysis
  • Background Processing: Long-running tasks continue when workspace is closed
  • Optimized Storage: Efficient data formats and compression

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Network Performance

  • High-Bandwidth: Fast data transfer and access
  • Global CDN: Content delivery network for worldwide access
  • Low Latency: Minimal delay for interactive operations

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Optimization Best Practices

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Data Management

  • Efficient Formats: Use optimized file formats (Parquet, COG)
  • Partitioning: Implement data partitioning for faster queries
  • Caching: Leverage built-in caching for repeated operations

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Resource Utilization

  • Right-Sized VMs: Choose appropriate machine configurations
  • Batch Processing: Process data in manageable chunks
  • Memory Management: Clean up large variables when done

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Code Optimization

  • Vectorized Operations: Use vectorized operations over loops
  • Parallel Processing: Utilize multiple cores for computation
  • Efficient Libraries: Use optimized libraries (NumPy, Pandas, GDAL)

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Performance Monitoring

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Real-Time Metrics

  • Resource Usage: Monitor CPU, memory, and GPU utilization
  • Execution Time: Track code execution performance
  • Data Throughput: Measure data processing speeds

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Optimization Tools

  • Built-in Profiling: Performance analysis tools
  • Resource Monitoring: Real-time resource tracking
  • Performance Alerts: Automatic performance notifications
Last updated: August 2025

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