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- What's New
- Service Overview
-
User Guide
- Preparations
- IAM Permissions Management
- Data Management
- Data Integration
- Data Development
- Solution
- O&M and Scheduling
- Configuration and Management
- Specifications
- Usage Tutorials
-
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
-
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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Product Advantages
One-Stop Data Warehouse Building
DLF supports one-stop building of cloud data warehouses, where you can complete data integration, script development, job development, job scheduling, job monitoring, and data management without the need for multiple tools.
Data Lake Development
DLF manages a variety of Big Data services such as DWS and DLI and allows data to be orchestrated and scheduled in different types of data services.
Diverse Data Types
DLF allows online collaborative development, supports online editing of SQL and Shell scripts and real-time script query, and enables job development for types of data processing nodes such as Data Migration, SQL, MR, Shell, Machine Learning, and Spark.
Powerful Job Scheduling Capabilities
DLF provides you with diverse scheduling policies and powerful scheduling capabilities, supporting manual, periodic, and event-driven scheduling.
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