ferry
Define, run, and deploy big data applications on AWS, OpenStack, and local machines using Docker.
What is ferry?
Ferry is a big data development environment that lets you define, run, and deploy big data applications using Docker. It simplifies the process of launching and managing clusters on platforms like AWS, OpenStack, and local machines, eliminating the need for manual infrastructure configuration.
Developers and data scientists who want to experiment with or develop big data applications without dealing with the intricacies of setting up and configuring technologies like Hadoop, Spark, or Cassandra.
Ferry provides a streamlined, Docker-based approach to big data cluster management, offering pre-built stacks, isolated environments, and easy sharing via Dockerfiles, which reduces setup time and complexity compared to manual configurations.
Overview
Ferry lets you define, run, and deploy big data applications on AWS, OpenStack, and your local machine using Docker
Use Cases
Best For
- Experimenting with big data technologies like Hadoop or Cassandra without deep configuration knowledge
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