public:iris_etl_eng.ver
Home / Solutions & Products / IRIS Big Data Platform / IRIS ETL
Gathers, extracts, transforms, and loads structured, semi-structured, and unstructured data from the various types of external systems
Real-time data collection with the distributed architecture
- Provides variable configuration and scalability according to configuration of the target system, processing capacity, and data generation speed
- Supports redundancy and HA(High Availability)
Stable data processing framework based on event-driven architecture
- Independent event management of individual ETL process
- Process fault management
Standard stream I/O
- Reliable high-speed I/O processing at kernel level
- Event processing based on the standard stream(STDIN/STDOUT/ERR) data channel
- Kill prevention of process daemon
Easy DevOps
- Seamless job processing of ETL job development, testing and deployment
- Manages(e.g. monitor, start, stop) multiple processes at once
- Reusable component structure
- Rapid failure response
Security
- Prevents system from forgery through encrypting the information on ETL configuration
public/iris_etl_eng.ver.txt · Last modified: 2019/04/24 09:23 by jins00
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