Data hierarchical fusion storage system, storage method and related device
By proposing a data layered fusion storage system in massive data storage, processing and analysis systems, using components such as Hudi, HDFS, HBase, ClickHouse, MPP and Flink, unified storage and flexible processing of multi-source heterogeneous data are realized, solving the problem of insufficient data processing efficiency and query performance, and improving the overall performance and scalability of the system.
Patent Information
- Application Number
- CN202411780801.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-05
- Publication Date
- 2025-03-21
AI Technical Summary
The existing massive data storage, processing and analysis systems have shortcomings in data processing efficiency and query performance, especially when handling complex queries and aggregation operations, performance may be affected, affecting the data processing efficiency of streaming data processing frameworks such as Spark.
A data hierarchical fusion storage system is proposed, including the original data layer, the data initial processing layer, the data depth processing layer and the data application layer. It realizes unified storage and flexible processing of multi-source heterogeneous data through a layered and hierarchical hybrid storage method. It uses components such as Hudi, HDFS, HBase, ClickHouse, MPP and Flink to realize real-time data access, deep processing and efficient storage.
Through the hierarchical and hierarchical hybrid storage method, unified storage and flexible processing of multi-source heterogeneous data is realized, data processing efficiency and query performance are improved, near-real-time access and distributed parallel processing of massive power grid regulation data are supported, and the problems of inconvenient storage and untimely calculation of multi-source heterogeneous data are solved.