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Showing 1 - 10 of 15 pages tagged with: Data Integration
ROI Justification in Data Virtualization
There are two sides to the ROI coin. One is TCO and the other is business impact. In this session, we will explain how to justify and measure the ROI for data virtualization, and share examples of authentic business benefits realized by our key customers. If you need help justifying the investment, don't miss this session!In this session, you will learn:How data virtualization is used to leverage data as a strategic asset, and to monetize dataHow to justify and measure ROI for data virtualization solutionsExamples of business benefits realized by our key customersThis session is part of the...
The Role of Data Virtualization in IoT Integration
Connected use cases are gaining momentum! Data integration is the foundation for enabling these connections. In this session, you will experience first-hand our customer case studies and implementation architectures of IoT solutions.In this session, you will learn:The role of data virtualization in enabling IoT use casesHow our customers have successfully implemented IoT solutions using data virtualizationHow our product complements other IoT technologiesThis session is part of the Denodo DataFest event. You can also access other Denodo DataFest sessions here.
A Survey-based Research Perspective: Fulfilling the Promise of Data Lakes
 Manage your data lakes using data virtualization to overcome the challenges of big data and power your analytics with reliable insights.
Performance in a Logical Data Warehouse
This video focuses on the performance of a logical data warehouse.Pablo Álvarez, Principal Technical Account Manager at Denodo, tackles the topic of performance by explaining the elements of the Denodo Platform query optimizer. He then challenges myths about virtual performance by comparing the logical data warehouse with the physical data warehouse using standard benchmarking tests.Álvarez covers some technical details about specific features that increase the logical data warehouse performance, using examples such as multi-source query execution, intelligent caching and the optimized...
Logical Data Warehouse Customer Success Stories
Paul Moxon, Head of Product Management at Denodo, uses Autodesk as an example of a logical data warehouse customer success story. Autodesk is an American multinational software corporation that makes software for architecture, engineering, construction, manufacturing, media, and entertainment industries. To overcome various business and technology challenges and change their licensing model from conventional perpetual license to a subscription-based license, Autodesk implemented a logical data warehouse.
Common Patterns for a Logical Data Warehouse
Pablo Álvarez, Principal Technical Account Manager at Denodo, speaks about common patterns for a logical data warehouse based on experience with customers.He identifies six common patterns and explains each in detail, including the virtual data mart, data warehouse extended with master data, data warehouse extended with cloud data, integration of multiple data warehouses, data warehouse horizontal partitioning with historical data in cheaper storage, and data warehouse vertical partitioning with rarely used data in cheaper storage. This video is part of the Denodo Educational Seminar (...
The Logical Data Warehouse
What is a logical data warehouse? Paul Moxon, Head of Product Management, Denodo, describes a logical data warehouse as a data system similar to that of a traditional enterprise data warehouse, but one that also includes data from external sources. According to Moxon, the main motive for implementing a logical data warehouse is to improve decision making and reduce cost.Moxon presents the logical data warehouse architecture and explains how to build a virtual logical model of your data, connecting to different external repositories (Oracle, Teradada, Hadoop, NoSQL, MongoDB, etc.) by simply...
Improving Agility Along the Value Chain with the Logical Data Warehouse
While companies focus on obtaining a holistic view of their data to make insight-driven decisions, IT departments struggle with the uncontrollable growth of hundreds of data silos and different information systems that prevent them from delivering true business value. This webinar is presented by Mike Ferguson, Independent Analyst and Managing Director of Intelligent Business Strategies Limited.The fact is traditional data integration approaches are no longer sufficient to support fast data flow in organizations. Data is being replicated and fragmented and this slows down reporting processes...
Data Integration Alternatives: When to use Data Virtualization, ETL, and ESB
IT organizations find several challenges when responding to business needs. Data integration is paramount and this talk describes three different paradigms: using client-side tools, creating traditional data warehouses and the data virtualization solution - the logical data warehouse, comparing each other and positioning data virtualization as an integral part of any future-proof IT infrastructure.