Turn Data Models Into ETL Jobs At a Click Of a Button
Make data models directly usable in IT operations.
Instead of a lengthy development cycle from model to actual data pipeline, let CloverDX instantly generate actionable artifacts for you.
Join us for a webinar about a unique engine that makes data models actionable by generating representations of model entities into executable objects.
Use data models as a common language between business and IT
Accelerate implementation by eliminating "transcription" from data models to ETL jobs
Bring transparency and auditability with data models, and a trusted IT implementation with CloverDX
Eliminate silos and standardize a shared vocabulary of data models.
As going from a data model to actual implementation will be as simple as clicking a "Generate" button, you can finally truly leverage the benefits of data modeling not only for business analysts, but also for IT operations teams.
Watch how a leading bank employed data models to create a sustainable environment where business people can take control over their data through data models, and IT can easily use that knowledge to build transparent and auditable ETL processes.
Check out our webinar where we demonstrate how data models can be ingested into data feeds without unnecessary development delays and effort.
Data integration software and ETL tools provided by the CloverDX platform (formerly known as CloverETL) offer solutions for data management tasks such as data integration, data migration, or data quality. CloverDX is a vital part of enterprise solutions such as data warehousing, business intelligence (BI) or master data management (MDM). CloverDX Designer (formerly known as CloverETL Designer) is a visual data transformation designer that helps define data flows and transformations in a quick, visual, and intuitive way. CloverDX Server formerly known as CloverETL Server) is an enterprise ETL and data integration runtime environment. It offers a set of enterprise features such as automation, monitoring, user management, real-time ETL, data API services, clustering, or cloud data integration.