Creating a modern data platform that can support your current and future needs is critical in a data-driven organization. Business leaders need to be able to access data quickly —and to trust the accuracy of that data—to make better decisions.
One of the biggest obstacles to this needed agility is poorly integrated data. In addition, many companies lack the expertise required to implement trusted business views over disparate data sources, inhibiting their ability to act cohesively in pursuit of their business goals.
Data virtualization enables you to connect to any data source, combine any type of data, and consume the data in any mode to deliver a holistic view of enterprise information to your business users.
When considering data virtualization, here are 10 things you need to know:
1. It is cheaper to maintain than traditional integration tools
Physically replicating, moving and storing data multiple times is expensive. Data virtualization creates a virtual data layer that eliminates the need for replication or storage costs.
2. It is a faster way to manage data
Rather than having to wait hours or even days for your results with traditional data integration methods, data virtualization provides results in real time.
3. It complements traditional data warehousing
Did you know data virtualization works alongside and complements traditional warehousing tools?
4. It maximizes performance
Poor performance is often due to network latency, i.e., the delay before a transfer of data begins. Data virtualization connects directly to the source and provides actionable insight in real time.
5. It enables self-service BI
Data virtualization can empower business users to leverage data on their own rather than always having to rely on the technical team.
6. It ensures secure data governance
Data virtualization enables a centralized point of access to all kinds of information in the enterprise, enabling security management, data governance and performance monitoring.
7. It goes far beyond data federation
Data virtualization is a superset of the 10-year-old data federation technology. It includes the advanced capabilities of performance optimization as well as self-service search and discovery.
8. It offers great ROI
A typical data virtualization project pays for itself less than six months after implementation. With data virtualization, businesses can achieve 50% to 80% time savings over traditional integration methods.
9. It is more agile than traditional methods
Data virtualization technology includes prototyping capabilities, meaning you can test out your strategy before implementing it on an enterprise scale.
10. It gives the right context to Big Data Fabric
Big data fabric enabled by data virtualization integrates data, prepares it for predictive analytics, and makes it available to the consumer in real time.
Download this information as an infographic. Want to learn more about data virtualization? Watch our on-demand webinar, Accelerating Cloud Modernization with Data Virtualization.
Sirius provides data virtualization consulting, professional and managed services for data platform modernization and data migration, to help you achieve more insight from your data.
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