Hoodie manages storage of large analytical datasets on HDFS and serve them out via two types of tables
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By carefully managing how data is laid out on storage & how its exposed to queries, Hoodie is able to power a rich data ecosystem where external sources can be ingested into Hadoop in near-real time. The ingested data is then available for interactive SQL Engines like Presto & Spark, while at the same time capable of being consumed incrementally from processing/ETL frameoworks like Hive & Spark to build derived (hoodie) datasets.
Hoodie broadly consists of a self contained Spark library to build datasets and integrations with existing query engines for data access.
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