DAC Virtual Layer Integration

In our comprehensive data architecture, the Virtualization Layer serves as a cornerstone for enhancing data accessibility and integration across the organization.

Source Connectivity and Immediate Data Exposure

The Virtualization Layer is meticulously designed to establish two-way connectivity with various data sources, enabling seamless interaction and data exchange. The primary goal of connecting source systems directly with the Virtualization Layer is to provide immediate exposure of new data elements to business users. This rapid access and utilization capability allows business operations to proceed without delay, even as new data elements undergo necessary cleansing and transformation processes through multiple layers—Alpha, Bravo, and Charlie.

When the Data Quality team identifies issues within the data, our architecture provides a streamlined resolution pathway. Source systems team members can be onboarded into the Virtualization Layer with the necessary access permissions. This setup enables them to directly address and rectify data quality issues within the Virtualization Layer, ensuring timely and efficient resolution.

Integration with Internal Data Layers

The Virtualization Layer is intricately connected to our internal data layers, each serving distinct and critical purposes:

? Alpha Layer: This layer hosts source look-alike data models. The Virtualization Layer has a one-way connection from the Alpha Layer, enabling the extraction and virtualization of data that closely resembles its original form. This facilitates easier integration and initial analysis.

? Bravo Layer: Serving as the repository for transformed data models that adhere to best practices, the Bravo Layer is connected to the Virtualization Layer through a one-way linkage. This ensures that the Virtualization Layer can access well-structured and optimized data, enhancing analytical capabilities.

? Charlie Layer: Focused on data models tailored to specific business requirements, the Charlie Layer also maintains a one-way connection to the Virtualization Layer. This guarantees that business-specific processed data is readily available for virtualization and subsequent use.

Metadata Management

Our architecture enhances data management by allowing the Metadata team to generate comprehensive views of data across all layers. This streamlined process improves data accessibility and management. For data lineage purposes, this architecture eliminates the need to access actual tables directly, thereby simplifying the process and ensuring precise tracking of data transformations.

Data Quality Management

The one-way connections from the Alpha, Bravo, and Charlie layers to the Virtualization Layer enable a robust mechanism for double-checking data at every stage. This is pivotal for maintaining high data quality. The Data Quality team can perform thorough assessments at each stage without directly interacting with the actual data, preserving data integrity and ensuring consistency.

Access Management

A significant advantage of our architecture is the centralized access management at the Virtualization Layer for all data residing in the Alpha, Bravo, and Charlie layers. This centralization simplifies the enforcement of data permissions and ensures consistent access policies across all layers, thereby enhancing security and compliance.

Conclusion

Our architecture ensures that data from diverse sources and internal layers can be efficiently virtualized. This robust framework supports comprehensive data analysis and informed decision-making, driving our organizational objectives forward with enhanced data integrity, accessibility, and security. By leveraging the Virtualization Layer, we create a flexible, responsive, and secure data environment that meets the evolving needs of the business.

Cheers.