Features

  • Schema Evolution: Manages schema changes efficiently.
  • Partitioning: Advanced partitioning techniques.
  • Time Travel: Query historical data easily.
  • ACID Transactions: Ensures data integrity.

Benefits

  • Performance: Optimized query performance.
  • Simplicity: Simplifies complex data management.
  • Flexibility: Adapts to changing data requirements.
  • Scalability: Suitable for large datasets.

Use Cases

  • Data lake management.
  • Real-time data analytics.
  • Historical data queries.
  • Data warehousing in cloud environments.

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