Applicable Scenarios

Full data analysis: When an analysis needs to read full data in a table, you can use the real-time view of Hudi to provide the latest full data for the analysis engine.

Quick data analysis: When an analysis poses higher requirements on analysis performance than eventually consistent or full data, you can use the read-optimized view of Hudi to improve read efficiency.

Incremental data analysis: In incremental data extract, transform and load (ETL) and online analytical processing (OLAP) scenarios, you can use the incremental view of Hudi to read the latest incremental data or the incremental data submitted at a specified time, eliminating the need to search the entire full data and significantly improving the read performance.

Historical image data analysis: To analyze data at a historical time point, you can use Multiversion Concurrency Control (MVCC) of Hudi to read image data of a specific version.