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R data connector

Centralize access to data for analytics, reporting, data management, and application integration with CData Virtuality.


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About R

R is a versatile software environment and programming language backed by the R Foundation for statistical computing and graphics. It is favored by data miners and statisticians for creating statistical software. The source code for R is mainly written in Fortran, C, and R, making it a powerful tool for data analysis.

Enhance R data connectivity

The only bi-modal integration stack to connect replicated and live data, providing real-time data access across enterprise apps and hybrid infrastructures. CData Virtuality enables users to easily integrate R with data from any application, database or data warehouse used across your entire organization.

Use cases:
BI & Analytics Data Integration Data Management

Connected analytics & reporting

With CData Virtuality users can easily connect R to data from anywhere. Access data from any source in real-time, or leverage built-in integration features to consolidate data to data storage for R access.

  • Demand on data: Enables R to connect to any data source in real-time.
  • Common Data Layer: Provides a semantic data layer that allows quick adaptation to changing business requirements without altering the underlying data structures.
  • Enhance performance: Speed up large data processing with intelligent in-memory caching, push-down to source systems, and physical data movement to 3rd party databases for repeated queries (materialization).
Analytics & reporting
Analytics & reporting

Data integration (ETL/ELT/Rev ETL)

CData Virtuality is a powerful integration tool that combines data virtualization and automated ETL processes. Create an agile data infrastructure by extracting, integrating and processing a wide variety of data sources.

  • Automate replication: Replicate data from any data source o a database or a cloud data warehouse and keep it up-to-date automatically.
  • Manage data changes: Keep data source schema in sync with data storage, and even update it when new fields are added to replicated objects.

Data governance & management

With CData Virtuality, you can establish centralized controls and audit capabilities to ensure high data quality, security, and compliance.

  • Manage access: Includes a robust permission system, customizing visibility and actions per user role.
  • Data lineage: Automatically track data journeys and transformations, clarifying origins, changes, and usage.
  • Secure data: Secure sensitive data with column masking and fine-tune access at row and column levels for privacy and compliance.
  • Track metadata: Keep a detailed history of metadata changes for effective tracking and reverting, ensuring data integrity.
Data governance

R & data virtualization

CData's Virtuality Platform™ revolutionizes enterprise data connectivity, enabling seamless integration with any data source. With hundreds of enterprise-class data connectors — and more continually being added — CData ensures instant access to data wherever it resides. This empowers analysts and data scientists with rapid, high-performance access to all data sources, driving faster, more insightful decisions and propelling organizational agility to new heights.

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