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- What's New
- Service Overview
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User Guide
- Preparations
- IAM Permissions Management
- Data Management
- Data Integration
- Data Development
- Solution
- O&M and Scheduling
- Configuration and Management
- Specifications
- Usage Tutorials
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References
-
Nodes
- Node Overview
- CDM Job
- DIS Stream
- DIS Dump
- DIS Client
- Rest Client
- Import GES
- MRS Kafka
- Kafka Client
- CS Job
- DLI SQL
- DLI Spark
- DWS SQL
- MRS SparkSQL
- MRS Hive SQL
- MRS Presto SQL
- MRS Spark
- MRS Spark Python
- MRS Flink Job
- MRS MapReduce
- CSS
- Shell
- RDS SQL
- ETL Job
- OCR
- Create OBS
- Delete OBS
- OBS Manager
- Open/Close Resource
- Data Quality Monitor
- Subjob
- SMN
- Dummy
- For Each
- EL
-
Nodes
- Change History
- API Reference
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FAQs
- What Is DLF?
- What Is DLF Used For?
- What Is a Job?
- How Many Jobs Can Be Created in DLF?
- Can I Adjust the Job Quota in DLF?
- Does DLF Provide Job Templates?
- What Is a Node?
- Is There a Limit on the Number of Nodes Contained in a DLF Job?
- How Can I Quickly Rectify a Deleted CDM Cluster Associated with a Job?
- What Causes a Large Difference Between the Plan Time and Start Time of a Job?
- How Do I Change the Message Language?
- What Can I Do When a Job Fails?
- Glossary
- General Reference
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Managing CDM Clusters
To help users quickly migrate data, Data Development is integrated with Cloud Data Migration (CDM). You can go to the CDM console by choosing Data Integration from the console drop-down list in the upper left corner of the page, and selecting CDM in the navigation tree. Alternatively, you can directly access the CDM console to perform operations.
For details about how to use CDM, see the Cloud Data Migration User Guide.
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