It uses specialized connectors to access specific data repositories or applications and carries out data source type conversions and normalization so that all base views appear as relational views to the upper layers. Randall said that Denodo rapidly integrates and delivers data for a fraction of the cost compared to other integration approaches in the industry “and typically provides a solution 80 percent faster than other approaches as well.”. Data virtualization connects to the widest range of data sources, from structured to unstructured, including databases, big data systems, streaming sources, cloud repositories, the Web, NoSQL sources, and flat files. In addition, they now have a location-agnostic architecture, so Denodo is available on Azure marketplace, AWS marketplace, and Docker Container. Data virtualization connects to all types of data sources—databases, data warehouses, cloud applications, big data repositories, and even Excel files. endobj “The business value really is enabling the organizations to be more agile in how they integrate their data” without compromising KPIs like performance, security, and governance, she said. or NoSQL data stores such as MongoDB, Cassandra, Neo4j, Aerospike, and so on. 3 0 obj Over the years, Denodo has matured their Data Virtualization capability and they are now offering a fourth-generation platform.
Denodo’s customers across every major industry have gained significant business agility and ROI.
“It doesn’t matter where your data is. <> In Predicts 2017: Data Distribution and Complexity Drive Information Infrastructure Modernization, Gartner Research agreed, predicting major savings with Data Virtualization. 8 0 obj “Denodo enables rapid decision-making by abstracting complexity, integrating data quickly, and provisioning that data in multiple formats so users can use their tool of choice to consume data and perform analysis.”. Denodo has specialized in Data Virtualization for over fifteen years with a philosophy of providing continuous delivery by maximizing local processing and minimizing the network moment. With data virtualization, decision makers gain fast access to reliable information. “For a Data Virtualization platform, that’s very unusual.”.
2 0 obj Data Virtualization (DV) is unlike traditional Data Integration, where change must be made on multiple layers; Data Virtualization makes change easy for the business as new requirements and sources can be integrated and changed rapidly. This allows applications to access data without having to know where it resides. “It’s very important to tailor the data to meet their needs,” so users can quickly and easily access data and use it for analysis instead of spending time looking for data, preparing data, or blending data. OverviewData virtualization uses a simple three-step process—connect, combine, consume—to deliver a holistic view of enterprise information to business users across all of the underlying source systems. <>>> Denodo is the leader in data virtualization providing agile, high performance data integration and data abstraction across the broadest range of enterprise, cloud, big data and unstructured data sources, and real-time data services at half the cost of traditional approaches. Other industry professionals have also weighed in to clarify some additional misperceptions. Image used under license from Shutterstock.com, © 2011 – 2020 DATAVERSITY Education, LLC | All Rights Reserved. Data virtualization is not provided by WPF. Data virtualization is a term that means achieving virtualization for the actual data objects that are bound to the ItemsControl.
endstream <>/XObject<>/ProcSet[/PDF/Text/ImageB/ImageC/ImageI] >>/MediaBox[ 0 0 612 792] /Contents 4 0 R/Group<>/Tabs/S/StructParents 0>> 9 0 obj Randall stresses that because it uses a universal semantic layer, by nature Denodo’s Data Virtualization can support any new consuming applications that may emerge in the future. Python offers multiple great graphing libraries that come packed with lots of different features. Data virtualization provides access to data while hiding technical aspects like location, structure, or access language. For case studies using Data Virtualization, see A Business Intelligence Upgrade Keeps Ultra Mobile Operating at Light Speed and Indiana University, Data Virtualization, and The Decision Support Initiative. Data virtualization and edge analytics enable companies to better understand how to thin big data and process and analyze only the information necessary to the query, saving cost and time. 1 0 obj 6 0 obj
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