The Data+AI module of Data Management (DMS) provides a unified interface for data integration, data development, and data services. It is designed for data developers, business developers, analysts, and data operators.
Benefits
| Benefit | Description |
|---|---|
| Low-code development | Reduces the engineering effort required to build data pipelines. |
| Flink and Spark compatibility | Full compatibility lets you use familiar frameworks without modification. |
| Built-in data security | Security controls apply consistently across data chains and during data development. |
| Minute-level scheduling | Fine-grained control over task execution timing. |
| Multi-environment management | Isolate development, testing, and production configurations. |
Use cases
Data+AI supports the following database development scenarios: cross-database development, scheduled tasks, data archiving, data migration, and report development.
Notebook
Notebook integrates with large language models (LLM) to accelerate data delivery and self-service data analysis. Use it to present query results, test data, and data change trends in document form — for business developers, data developers, analysts, and data operators. After a document is published, the DMS AI Agent provides around-the-clock Q&A on its content.
For more information, see Notebook.
DTS
DTS is the data transfer component of DMS. It covers four capabilities: data synchronization, data migration, change tracking, and data verification.
Data synchronization
Data synchronization replicates data between sources in real time. It is suited for active geo-redundancy, geo-disaster recovery, zone-disaster recovery, cross-border data synchronization, cloud business intelligence (BI) systems, and real-time data warehousing.
For more information, see Overview of data synchronization solutions.
Data migration
Data migration moves data between homogeneous or heterogeneous data sources in a single operation. Common scenarios include migration to Alibaba Cloud, migration between instances within Alibaba Cloud, and database splitting and scale-out.
For more information, see Overview of data synchronization solutions.
Change tracking
Change tracking surfaces real-time incremental data from your databases, enabling downstream consumers to react to changes as they occur.
For more information, see Overview of change tracking scenarios.
Data verification
Data verification monitors differences between source and destination databases. Run it without downtime to detect inconsistencies in data and schemas as early as possible.
For more information, see What is data verification?
Data development
Task orchestration: This is mainly used to orchestrate and schedule various tasks. You can create a task flow composed of one or more task nodes to implement complex task scheduling and improve data development efficiency. For more information, see Overview.
The task orchestration feature lets you compose task flows from one or more task nodes to implement complex scheduling logic. Use it to coordinate multi-step data development pipelines and reduce manual coordination overhead.
For more information, see Overview.