Fluid, elastic data abstraction and acceleration for BigData/AI applications in the cloud. Provide DataSet abstraction for underlying heterogeneous data sources with multidimensional management in a cloud environment. Enable dataset warmup and acceleration for data-intensive applications by using a distributed cache in Kubernetes with observability, portability, and scalability. Taking characteristics of application and data into consideration for cloud application/dataset scheduling to improve the performance.
Features
- DataSet abstraction
- Data acceleration
- Data-aware scheduling
- Data abstraction and acceleration
- For BigData/AI applications in cloud
- Documentation available
Project Samples
License
Apache License V2.0Follow Fluid
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