DV#
Integrate distributed data into a virtual data layer and utilize the latest data in real time
DATAWARETM DV# integrates distributed databases, files, and big data into separate memory spaces as a virtual data layer and provides an environment to utilize the latest data in real time. Compared to physical DB integration, the implementation period is reduced and the data source is easy to change.
Quick integration without physical data movement
-
1
Silo data integration in real-time
- Prevent indiscriminate data duplication (physical data movement) that can lead to compliance issues in physical data lakes. It builds a logical data lake for real-time data synchronization for quality verification and recombination with original data
-
2
In-memory data processing layer
- It is located between the user/application layer and the data source layer. It provides a flexible operating environment through a separation of DV user permission.
-
3
Data virtualization platform
- Users can have usage rights for the managed data source, and make multiple or limited selections from the data source through the Designer. Through a configured and distributed Virtual Database (VDB), users and applications can access a variety of data sources as a single data model.
Data virtualization solution
Provides virtualization environment that can utilize the latest data in real time
Convenience functions for flexible DB virtualization
-
01
Silo data integration
-
02
Real-time data synchronization
-
03
Data compliance
-
04
Data access control
-
05
Web-based flexible central operation management
-
06
Convenient DB virtualization design and management with DV# exclusive designer
-
07
Corresponds to various configurations such as On-Premise and multi cloud environment
-
08
Cost down and reduce duration with Logical data lake
Quick configuration with data virtualization platform
DATAWARE™DV#은?
Data virtualization for RDBMS, File, Big Data Platform
Metadata design and management for data virtualization configuration (Designer)
Standard JDBC / SQL interface for data access and utilization
SQL access control for data access, recording and data masking
Virtual Database configuration per user
Organize and join virtual tables for various data sources
Configuring cache and data connections to optimize performance
Web SQL Tool for checking various data
Optimization and various hints for performance improvement
On-premise, public/private cloud environment configuration
Building a logical data lake using DATAWARE™ DV# DATAWARE™ DV# is a logical data lake for indiscriminate data duplication that can cause compliance issues that can occur in physical data lakes, real-time data synchronization for quality matching verification, and recombining with original data. allows you to configure.
Data Virtualization DV# Application Reference A financial company uses DV# to provide data scientists with a data virtualization space where they can combine/verify various heterogeneous data in the backbone/information system, and the necessary data is stored in the cloud (AWS S3 and RedShift) by scheduling. ) and carried out the data transfer to the analysis environment.
Data Virtualization Deployment Architecture
