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ELCA QDB offers highly efficient automation of complex data preparation, and integration of existing systems into new systems – with evenly distributed system utilization. Thanks to the proven, standardized approach costs are massively reduced.
ELCA QDB (Queuing Database) is a modular, simply administered software toolbox and orchestration solution from ELCA. ELCA QDB rapidly automates and implements complex data preparation and processing at low cost. It also integrates existing systems with new ones. ELCA QDB ensures system loads are evenly distributed, so delays or system crashes due to overloading are avoided. Thanks to the numerous standard components proven in use at other clients, time and effort for implementation is significantly reduced.
In one lean process, the ELCA QDB toolbox automatically combines, prepares and processes information from a variety of sources – a hundred times a day, a thousand times a day, or hundreds of thousands of times a day. In IT this is referred to as ETL processing. ETL stands for Extract, Transform, and Load, that is, the extraction, preparation/transformation and further processing of data.
"With QDB you are not buying an oversized, inflexible product, but rather just the components you need from a toolbox proven in practice and continuously improved. We assemble the components for your individual ETL process and configure them according to your needs. In many cases this approach can reduce costs by up to 80 percent."
Substantial cost savings:
Thanks to ELCA QDB’s standardized approach a huge number of interfaces, redundant code elements, log files in different locations, time-consuming error corrections and peak load issues are also history.
With the QDB software toolbox you configure your own ETL processes, selecting from about 25 different standard components that are continuously further developed. We can configure existing components or develop a customized connector for you.
Multiple deployment options
ELCA’s QDB solution is an orchestration solution for asynchronous mass data processing. It has a variety of advantages across a range of scenarios:
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