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

Fluid Screenshot 1

Project Activity

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Categories

Big Data, Observability

License

Apache License V2.0

Follow Fluid

Fluid Web Site

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Go

Related Categories

Go Big Data Tool, Go Observability Tool

Registered

2024-03-20
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