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Get an overview of Oracle Cloud Infrastructure Data Integration.
Intuitive user interface helps you configure integration parameters and automate data mapping between sources and targets.
Use one of the out-of-the-box operators, such as a join, aggregate, or expression to shape your data.
Maintain your processes centrally and use parameters to override specific configuration values at runtime.
Users can interactively prepare their data and view transformation results to validate their processes.
Boost productivity and fine-tune data flows on the fly, without waiting for an execution to complete.
Avoid broken integration flows and reduce maintenance complexities when data schemas evolve.
Leverage best practices to map data instead of matching by data fields.
Elastically scale by parallel processing large data volumes.
SQL push-down execution to leverage native database capabilities.
Generate the best executable code to move data using the most efficient systems resources that provide the best performance.
Native integration with Oracle Cloud Infrastructure for best-of-breed computing, networking, scalability, and security.
Leverage Oracle Cloud resources to build data lakes at scale and quickly spin-up the required resources for any new project.
Pushdown ELT leverages native database capabilities to process transactional data efficiently.
Oracle’s Pay As You Go pricing minimizes the major initial investment usually needed for IT infrastructure, because you only pay for what you need.
Streamlined data integration helps you eliminate redundant servers, reducing your utility costs.
Ingest data faster and more reliably into data lakes for data science and analytics. Create high-quality models more quickly.
Load and transform transactional data at scale. Create an organized view from large data volumes.
Oracle Cloud Infrastructure Data Integration: Workspace
Workspace Usage Per Hour—UCM
Oracle Cloud Infrastructure Data Integration
Gigabyte of Data Processed Per Hour—UCM
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