The Denodo Platform is really the only data virtualization framework in the market that requires all of the abilities of a logical data fabric – a data stream catalog for query expansion and innovation data governance, business smart query efficiency automation, computerized cloud infrastructure governance besides multi-cloud and hybrid contexts, and integrated data preparation abilities for service analytics and to remove the space among the IT and the businesses.
Denodo is really the market leader in data virtualization, offering data access, data governance, and data delivery capabilities across the most diverse enterprise, cloud, big data, and unorganized information sources without requiring data to be moved from their existing directories.
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Denodo Platform goes above and beyond any other data virtualization solution, providing:
The Denodo Platform connects to numerous data sources, combining and publishing data in a business-friendly format to multiple consumers.
Data virtualization seems to be a logical data layer which really incorporates all business intelligence silos scattered throughout different systems, maintains the unified data for consolidated security and governance, and provides it in near real - time to corporate customers.
Data virtualization is a cutting-edge method for data integration. Unlike ETL solutions, that mostly reproduce data, data virtualization keeps data in source systems while providing data consumers with an accurate understanding of all data.When enterprise customers dig deeper into documents, data virtualization retrieves the information from the resource description systems in real time. Data virtualization demonstrates that accessing the data is far better compared to accumulating it.
Businesses in a wide range of industries can motivate complex systems with real-time direct connections to comprehensive information.
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To provide a comprehensive view of corporate data to corporate customers throughout all fundamental data sources, data virtualization provides a straightforward three-step process: connect, combine, and consume.
Data virtualization connects to a wide variety of data sources, including databases, data warehouses, cloud applications, big data repositories, and even Excel files.
The Connect layer uses data from diverse repositories while masking the complexities of the upper layers' underpinning network topologies and formats. Data virtualization makes a connection to a wide variety of data sources, from organised to unorganised, such as databases, big data systems, streaming sources, cloud repositories, the Web, NoSQL sources, and flat files.It accesses particular data repositories or applications using highly specialised connectors and performs data source form conversions and widespread acceptance so all base views occur as relational views to the upper layers.
Data virtualization integrates pertaining data into actionable views regardless of data forma relational databases, noSQL, Hadoop, web services and Cloud APIs, files, and so on.
The Combine layer efficiently simplifies Web processes by modeling them with a library of pre-built layouts and elements for workflow, connectivity, and retrieval, and also the organizing of Web, semi-structured, and unstructured data. It supports dynamic transitions with logical operators for the smooth development of composite data views on top of the base views provided by the coprocessor.
In this layer, consumers can use SQL and relational techniques those who already are acquainted with to execute large data transformations, metadata designing, quality management, and semantic color coordinated operations.
Business users can consume data through reports, analysis tools, portals, mobile apps, and Web apps thanks to data virtualization.
The Consume layer provides a unified interface for accessing and interacting with both the inherent data sources, and also abstracted data views in a delivery time format.JDBC, ODBC, ADO.NET, SOAP web services, RESTful web services (output as XML, JSON, HTML, or RSS), OData, portlets and data widgets (JSR-168, JSR-286, or Microsoft Web Parts to be implemented in SharePoint), exports to Microsoft Excel/SQL, and JMS message queues are available in the Consume layer to meet the needs of business users.
In this blog post we learned about dendo and how it acts as an most prominent data virtualization tool in today's global market. Had any doubts drop your quieres in the comments.
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