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Spark Library for Hadoop Upserts And Incrementals

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Hudi

Hudi (pronounced Hoodie) stands for Hadoop Upserts anD Incrementals. Hudi manages storage of large analytical datasets on HDFS and serve them out via two types of tables

  • Read Optimized Table - Provides excellent query performance via purely columnar storage (e.g. Parquet)
  • Near-Real time Table (WIP) - Provides queries on real-time data, using a combination of columnar & row based storage (e.g Parquet + Avro)

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Spark Library for Hadoop Upserts And Incrementals

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