Denodo Standard 8 ** NEW Starting at $6.27/hour START YOUR FREE TRIAL Denodo Platform 8 Starting at $15/hour
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Up to 5 data sources Unlimited data sources
1 Development instance and solution manager included 1 Development instance and solution manager included
What is denodo used for?
The Denodo Platform delivers breakthrough performance in big data, logical data warehouses, and operational scenarios; it accelerates adoption with data virtualization in the cloud; and it expedites the use of data by business users, with self-service data discovery and search.
What is denodo database?
The Denodo Platform is industry's only data virtualization platform that offers all the necessary capabilities of a logical data fabric an active data catalog for semantic search and enterprise wide data governance, industry leading smart query acceleration powered by AI, automated cloud infrastructure management for
What is data virtualization example?
Examples. The Phone House—the trading name for the European operations of UK-based mobile phone retail chain Carphone Warehouse—implemented Denodo's data virtualization technology between its Spanish subsidiary's transactional systems and the Web-based systems of mobile operators.
What are the types of data virtualization?
- Data Blending. Shutterstock Licensed Photo By DrHitch.
- Data Services Module. Data service modules are typically included with data warehousing contracts.
- SQL Functionality.
- Cloud Data Services.
- Data Virtualization Platforms.
What is data virtualization and why is IT important?
Data virtualization enables organizations to increase analytics effectiveness and reduce analytics costs by creating a virtual layer that aggregates data from multiple sources. This enables companies to access data from multiple sources without setting up a costly data warehouse or spending time on data preparation.Jul 5, 2021
Data virtualization enables business users to consume data through reports, dashboards, portals, mobile apps, and Web applications. The Consume layer enables a single point of access and interaction with the underlying data sources, as well as abstracted data views in a standard delivery format.