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Diverse Data Ingestion
Need to integrate internal and external data, structured and unstructured formats, and both offline and real-time data.
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Lack of Operational Monitoring
System operations lack control mechanisms. Issues like file transfer failures or job loading errors are only addressed reactively.
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Heavy Manual Operations
Data integration and updates rely heavily on manual processes, with insufficient workflow control, governance, and monitoring.
The ORIGIEN Data Integration Platform prioritizes native tools for integration and supports various technologies such as Data Express, DATAX, BitSail, JDBC, and Flink CDC. It enables bidirectional integration with files, relational databases, MPP systems, and big data platforms. The platform supports data migration, synchronization, full and incremental extraction, and sharded database architectures. It also allows custom script templates, dynamic script workflows, SQL functions, and dynamic data masking.
It empowers enterprises to collect, store, and process any type of data with complete data sharing and persistent availability. The platform is designed for flexible adaptation and dynamic scalability.
Help customers achieve data collection of multiple heterogeneous data sources through visual task configuration. Real-time data collection based on Flink CDC, unified management of various types of data collection tasks, unified scheduling of batch collection tasks, full-process monitoring of the data collection process. It achieves the improvement of data collection efficiency and security, and realizes the complete sharing of data to give full play to the value of data assets.
Supports bidirectional integration with files, relational databases, MPP, and big data platforms.
Data integration task configuration can be completed by configuring task information, data source configuration, and target configuration on the page. After saving the configuration, it will generate the task job script according to the template, and generate the complete job according to the template arrangement. At the same time, it supports the configuration of templates and template scheduling, and can flexibly define the data collection process.
Configure and manage tasks uniformly in task configuration. Unify the execution of batch collection tasks in the scheduling platform. Uniformly manage the execution of real-time tasks in the real-time task monitoring business.
The ORIGIEN Data Integration Platform mainly contains parameter configuration, preprocessing configuration, version management, task monitoring and other functions.
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Parameter Configuration
It contains query, addition, modification and deletion of dynamic parameters. It can define the parameters that follow the task configuration according to the needs of business scenarios to meet the needs of customers to flexibly adapt to various types of collection tasks.
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Preprocessing Setup
Containing preprocessing script configuration and preprocessing group configuration, etc., it enables data cleansing and data processing of file-type data sources, and meets the customer's demand for data preprocessing of file-type data sources.
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Version Control
Containing preprocessing script configuration and preprocessing group configuration, etc., it enables data cleansing and data processing of file-type data sources, and meets the customer's demand for data preprocessing of file-type data sources.
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Task Monitoring
Including batch task monitoring and real-time task monitoring, it enables monitoring of the status and data volume of the whole process of batch data collection tasks. It supports real-time task start/stop management, task status view, and corresponding Fink job status view, which meets the customer's demand for data collection task status monitoring and management.
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Visual Task Configuration
Batch tasks and real-time tasks can be configured and modified through the page to complete the task configuration, WYSIWYG task configuration greatly improves the configuration efficiency of the data collection task, thus improving the overall task execution efficiency.
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Multi-Source Integration
It supports bidirectional integration of files, relational databases, MPP, big data platforms, etc. It supports a variety of domestic and foreign relational databases, such as MySQL, PG, Oracle, DB2, SQL Server, Damon, and YiJingJie.
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Flexible Synchronization Modes
Supports multiple data synchronization methods, gives priority to native tools for data integration, and supports Data Express, DATAX, BitSail, JDBC and other methods.
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Dynamic Parameterization
Users can define the parameters required in the tasks according to business needs. These custom parameters will be displayed in the task configuration page of the corresponding task type and can define default values or provide optional values. Users can refer to the dynamic parameters in the script through the parameter code.
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Custom Templates and Orchestration
A template is an example of a script that handles a step in a data collection task, and a template choreography is a sequence of scripts that handles the entire data collection task. Each individual step and the overall sequence of the data collection task can be customized. Users can customize their own templates and template arrangements according to their business needs, adapting to a variety of complex business scenarios.
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End-to-End Monitoring
Provide full-process task monitoring function, in the batch task monitoring page you can view the monitoring information of each task execution. Each node of the task execution, the whole process status, and the data volume information of each node are monitored. In the real-time task monitoring page, you can view the running status of real-time tasks in real time.




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