What’s the best way to deduplicate and validate events before they enter Databricks?

The best way to deduplicate and validate events before entering Databricks involves using a combination of Snowplow's event tracking and data processing techniques:

  • Use Snowplow's schema validation to ensure data consistency and avoid invalid events
  • Implement deduplication logic in the data pipeline, ensuring that duplicate events are filtered out before processing
  • Use timestamp-based logic or unique identifiers to identify and remove duplicates

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