Hybrid Cloud Data Integration
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Scenarios

The Problem

Company spending countless hours and resources trying to access and integrate data from multiple sources that are spread across different cloud environments, on-premises systems, and third-party applications. The process is complex and time-consuming, requiring significant IT expertise that may not be available within your organization.

The Solution

Canner Enterprise simplifies the data access workflow between data sources and applications. With Canner Enterprise, companies can decouple access authorization and data connectivity challenges between data infrastructure and business applications with the Universal Semantic Layer.

1. Multi-Cloud Data Sources

1. Multi-Cloud Data Sources

In a hybrid cloud data integration scenario, data is sourced from multiple cloud environments, on-premises systems, and third-party applications. This allows for a more comprehensive view of an organization's data.

2. Real-Time Data Access

2. Real-Time Data Access

To support real-time decision-making, organizations need to have access to up-to-date data from all their data sources. In a hybrid cloud environment, this can be challenging due to the different data formats, locations, and access methods.

3. Data Security and Governance

3. Data Security and Governance

Data security and governance are critical considerations in a hybrid cloud data integration scenario. Organizations must ensure that data is secure and compliant with regulations across all their data sources, including cloud environments and on-premises systems.

4. Simplified Data Access

4. Simplified Data Access

With multiple data sources to integrate, data integration can be complex and time-consuming. Organizations need a solution that simplifies the process and reduces the time and resources required for data integration.
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