In a scenario requiring the migration of large datasets from an enterprise database to Hadoop, what considerations should be made regarding data integrity and efficiency?
- Data Compression and Decompression
- Data Consistency and Validation
- Network Bandwidth and Latency
- Schema Mapping and Transformation
When migrating large datasets to Hadoop, considerations for data integrity and efficiency should include ensuring data consistency and validation. It involves verifying that data is accurately transferred, maintaining its integrity during the migration process.
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