ORIGIEN Next-Gen Digital Infrastructure
Distributed Core Banking System
Distributed Financial PaaS
Data Middle Platform
Digital Marketing
Risk & Compliance
Payment & Settlement
Channel Solutions
Credit Management
Transaction Banking
Open Banking
Digital Operation
QA Platform
AI Applications
Industry Solutions
In the context of big data finance, the industry needs intelligent visual configurations, but still faces the following challenges.
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Inability to Meet Diverse Scheduling NeedsOrdinary scheduling platforms have limited functionality and cannot meet the diverse scheduling needs, resulting in difficulties in task scheduling and low efficiency.
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Lack of Visual Monitoring and Alarm FeaturesSome platforms lack intuitive visual monitoring and alarm features, making it difficult to accurately understand task execution status and make timely decisions or handle anomalies.
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Resource Waste and Low Scheduling EfficiencySome platforms have shortcomings in resource scheduling and utilization, leading to resource waste and inefficient scheduling, which limits the enterprise's data processing capacity and cost control.
The ORIGIEN Data Scheduling Management Platform adopts a distributed, decentralized technology, offering high scalability, flexible deployment, efficient resource utilization, and elastic scaling advantages. It provides customers with higher resource utilization, faster task response times, and stronger system stability. By offering an intuitive task management interface, real-time visual monitoring, and intelligent scheduling optimization, the platform helps customers automate tasks, reduce manual operations, and improve work efficiency.
Big Data Scheduling Scenario | Integration with big data processing frameworks such as Spark, Flink, and Hive; enabling large-scale data processing and analysis; scheduling and managing large-scale data and tasks to improve data processing efficiency and accuracy; scheduling system monitors task execution and provides manual intervention for problematic tasks.
Data Development - Scheduling Collaboration Scenario | Managing requirements, models, etc.; data development tasks are pushed to the scheduling platform; the scheduling system monitors task execution and provides manual intervention for problematic tasks.
Data Integration - Scheduling Collaboration Scenario | Configuring exchange source systems, data sources, and data dictionaries; configuring various types of exchange tasks; exchange tasks are pushed to the scheduling platform; the scheduling system monitors task execution and provides manual intervention for problematic tasks.
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Task Scheduling Management
Features contain task creation, editing, and scheduling execution, including support for task dependencies, scheduling strategy settings, and parameter configuration.
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Resource Management and Optimization
Through intelligent scheduling algorithms and dynamic resource allocation, efficient management and optimization of computing resources, storage resources, and network resources are achieved, enhancing task execution efficiency and overall system performance.
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Log Management and Analysis
Records task operation logs and execution results, supports log search and queries, helps users quickly locate and troubleshoot issues, and provides log analysis functionality to support business decision-making.
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Simple to Use, Quick to Get Started
The ORIGIEN Data Scheduling Management Platform is easy to use and quick to get started by its intuitive user interface and operation flow. With simple steps, users can quickly begin using the platform for data scheduling and management without complex training.
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Resource Optimization, Stable and Reliable
The ORIGIEN Data Scheduling Management Platform effectively utilizes computing resources, enhancing task execution efficiency. The platform also features robust error handling and fault tolerance mechanisms, ensuring the stability and reliability of data scheduling and guaranteeing data accuracy and integrity.
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ORIGIEN Next-Gen Digital Infrastructure
A next-generation digital infrastructure, powered by a fully independent and secure computing industry chain. It adopts a modern technology architecture to serve the financial sector and other key industries.
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Cloud-Native Distributed Core Banking System
Leveraging the latest technological advancements such as distributed systems, microservices, and intelligent capabilities, this innovatively designed cloud-native distributed core banking system offers a cutting-edge solution.
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Business Modeling-Driven Enterprise Architecture Transformation Solution
A new enterprise framework that is "enterprise-grade, agile, and lean."
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SDLC AI Agents
Accelerate enterprise software modernization and digital transformation with AI agents that unify business and IT for faster, safer, and more cost-effective delivery.
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ORIGIEN Data Asset Platform
A comprehensive data asset management solution that covers the entire data lifecycle — from collection, storage, and management to computation and application — delivered through a one-stop platform.
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