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  • Fixed an issue in approx_percentile caused by precision loss in float number
  • Support for EMR 7.0 (This is not currently compatible with Kinesis-based Stream Feature Views -- support will be added soon)
  • For materialization of Batch Feature Views on EMR: when spark.sql.shuffle.partitions or spark.default.parallelism is explicitly set (via the Cluster Config), Tecton will no longer repartition or coalesce during offline writes

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