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iris_etl_eng.ver
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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