Features
Data Discovery is a product for business users. It orchestrates, debugs, runs, and manages business models that are built from intelligent data and smart operators. The goal of Data Discovery is to make big data accessible to everyone.
Data Discovery provides an integrated platform for industry customers and business users to build business models. It offers low-code, visual tools to create expert models for various scenarios, reshaping innovation in big data services. On this platform, business data is transformed into intelligent data or smart operators. Models are orchestrated using a visual drag-and-drop interface and simple graphical condition settings. The platform supports offline scenarios. It simplifies model building, improves runtime performance, and integrates intelligent algorithms to connect data with business operations. This enables the continuous development and refinement of expert business models that support daily event mining, real-time event alerts, and online Fraud Detection.
Homepage
The homepage displays statistics about the system's models, operators, tasks, and users, including total and incremental counts, model task volume, and the total number of users. It also provides user guides and manuals for regular users.
Asset Marketplace
In the Asset Marketplace, you can view and request to use models that are available in your tenant.
You can request to use assets from the marketplace, and then view reminders and manage approvals on the approval page.
You can view basic asset information and the model view on the model details page.
Data Center
The Data Center includes data management, data configuration, and API access.
Data management: Manage data that you have added. Key features include data table import and local data import.
Data configuration: Manage compute resources that you have added.
Operator Hub
The Operator Hub includes operator management and operator configuration.
Operator management: Manage script operators that you have added. You can drag and drop these operators onto the model canvas for use.
Operator configuration: Manage uploaded resource files and function information. This feature includes Resource Management.
Model Hub
The Model Hub provides visual tools to build and orchestrate business models. You can edit and configure model Flow Directed Acyclic Graphs (DAGs) for business scenarios using drag-and-drop smart operators. This module helps you convert business requirements into business models, which are then run by the underlying engine to generate business results. Key features include model management, model orchestration, model releases, and model testing and debugging.
Task Hub
The Task Hub manages the automated scheduling and execution of offline models. For offline task scheduling, tasks run automatically based on the model's configured parameters and data. You can monitor the health of each task by checking its status.