The ORIGIEN Data Development Platform is a one-stop visual big data development and processing platform, integrating development, debugging, deployment, and operations.
High Barriers in Data DevelopmentThe data development model, based primarily on programming code, has high research and development barriers and development costs.
Complex Construction RulesUsers need to manually edit a large number of scripts and custom rules for data processing and processing, and these scripts are scattered and difficult to maintain.
Data Link BarriersData infrastructure is difficult to integrate, and there is a lack of unified tools for processing multi-source heterogeneous data and data from different levels of the data warehouse, thus failing to connect the entire data processing chain.
The ORIGIEN Data Development Platform uses advanced technologies such as stream-batch integration to provide efficient and easy-to-use data development tools for data processing and refinement, improving data development efficiency for clients and unlocking the value of data.
DataOps-Based Process Development| The ORIGIEN Data Development Platform unifies the allocation and management of departments, assigns different roles to different user identities, and processes business tasks in the form of demand task flows.
Lake-Warehouse Integrated Data Processing and Development| The ORIGIEN Data Development Platform synchronizes data into the data lake, processes and transforms data using various business scene operators, and provides processed data to support various applications.
Real-Time Data Synchronization and Development| The ORIGIEN Data Development Platform synchronizes real-time data and performs conversion and processing development based on real-time data, providing processed real-time data to support various applications.
The platform's main features include demand management, data development, data querying, data testing, approval management, and monitoring management.
- Demand Management
Manages business value of data development needs online, meeting the requirements for online management of demands.
- Data Development
Implements process-oriented data development business value, meeting customers' data processing and development requirements.
- Data Querying
Provides data result queries and temporary data processing, meeting customers' data result querying and validation needs.
- Data Testing
Supports online data testing and validation, meeting customers' online data testing and case management needs.
- Approval Management
Implements control of the development process, meeting the approval management needs during the development process.
- Monitoring Management
Supports task monitoring and space isolation, meeting customers' task monitoring and basic public information configuration needs.
- DataOps Support
Covers the entire process from demand to development and deployment, providing one-stop full-domain development capabilities.
- Broad Compatibility and Adaptability
Supports domestic adaptations such as Dameng, GaussDB, and is compatible with multiple platforms like CDH, HDP, Huawei MRS, and Star Ring TDH.
- Easy to Use, Low Difficulty
Drag-and-drop canvas, low-code concept for development and configuration. The flow from demand → design → development → testing → deployment is logically clear and easy to understand.
- High Performance, High Availability
Master-slave multi-node distributed deployment, TB-level data processing, multi-task and multi-thread concurrency, with clear logic and simplicity.
- Development Collaboration Management
Process locking, code version management, comparison/rollback, space management, data isolation, process approval. SQL code scoring, syntax validation, and rule settings.
- Diverse Data Processing
Offline development, real-time development, stream-batch integration. Rich operators, IDE, SQL, transformations, etc. Built-in UDF functions, custom operator references.
