Operators
Operators are a suite of prepackaged solutions designed to address a wide range of data science needs
Operators offer a user-friendly, low-code interface, making data science tasks accessible to users with different levels of expertise. Domain experts can leverage and extend operators to encapsulate their domain-specific knowledge. Data Scientists and AI Engineers can focus on customizing the data and modeling parameters, and let the Operator handle the more mundane tasks, such as, ETL, data cleaning, OCI AI Platform integration, report generation, explanations, and more.
Available Operator Solutions
Key Characteristics of Operators
- No domain expertise is needed
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You don’t need to be a domain expert to use an operator. Each operator is equipped with all the necessary domain-specific knowledge, removing the need for specialized expertise.
- Configuration options
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Key configuration settings are available for domain experts who want to fine-tune the operator's behavior. These settings let you customize the operator to suit the specific needs.
- Default settings
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Operators come with default configurations that include domain-specific information. This means that users can get started quickly, without making customizations.
- Versatile deployment
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Operators can be run in various environments, including OCI Data Science Jobs, OCI Data Flow Applications, Kubernetes (K8s), and locally. This flexibility lets you select the environment that best suits the requirements.
- CLI tool for deployment
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To simplify the deployment process across different environments, we provide a user-friendly CLI tool. This tool streamlines the setup and execution of operators, making it easier for you to harness their power regardless of where you select to run them.
Whether working in the cloud or locally, operators offer a performant and customizable solution for software engineers, data scientists, and domain experts.