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Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud.

# Features

DataSet Abstraction

Provide DataSet abstraction for underlying heterogeneous data sources with multidimensional management in cloud environment.

Data Acceleration

Enable dataset warmup and acceleration for data-intensive applications by using distributed cache in Kubernetes with observability, portability and scalability.

Data-aware Scheduling

Taking characteristics of application and data into consideration for cloud application/dataset scheduling to improve the performance.

# DEMO

# Adopters


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Fluid is a Cloud Native Computing Foundation Sandbox Project.