DataOps and AI Ops, Whitepaper

Modernizing Data Architectures for a Digital Age Using Data Virtualization – Denodo Whitepaper

A wide range of reasons exists why organizations need to modernize in regards to their business data. Modernization of a data architecture is not a simple replacement of one architecture with a new one, but involves the improvement of existing modules and removal of weak modules.

Within a modernized data architecture employees have to be enabled to do self-service reporting and dashboards. Furthermore, advanced analytics have to be (near) real-time data – combining internal with external data coming from one of the many public, commercial, or social data sources to enrich analytical insights.

This whitepaper describes how data virtualization can optimize the capabilities of an existing data architecture to improve efficiency and reduce risk.

Key Takeaways from this Whitepaper:

How data virtualization can help provide a seamless evolution to the capabilities of an existing data architecture
How data architectures can be modernized without disturbing the existing analytical workload
What are the advantages of data virtualization

Denodo is the leader in data virtualization providing agile, high performance data integration, data abstraction, and real-time data services across the broadest range of enterprise, cloud, big data, and unstructured data sources at half the cost of traditional approaches. Denodo’s customers across every major industry have gained significant business agility and ROI by enabling faster and easier access to unified business information for agile BI, big data analytics, Web, and cloud integration, single-view applications, and enterprise data services.