How does the integration of Avro and Parquet impact the efficiency of data pipelines in large-scale Hadoop environments?
- Cross-Compatibility
- Improved Compression
- Parallel Processing
- Schema Consistency
The integration of Avro and Parquet improves data pipeline efficiency by combining Avro's schema evolution flexibility with Parquet's columnar storage and compression. Parquet's efficient compression reduces storage space, and Avro's support for schema evolution ensures consistency in data processing across the pipeline. This integration enhances both storage and processing efficiency in large-scale Hadoop environments.
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