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TAG REFERENCES

Showing 1 - 7 of 7 pages tagged with: Use Cases
The Governed Data Lake – Putting Big Data to Work
Data lakes are en vogue, especially when you based it on avant-garde in-memory technologies such as Spark. However, these investments don’t deliver the anticipated benefits when they are not properly governed in conjunction with legacy data warehouses and other data source.In this presentation, the Enterprise Architect at Autodesk, Mark Eaton will present:The philosophies behind agile, modern (Spark-based) data architecturesHow to use a logical data warehouse/ data lake as part of the data governance strategyBuilding an information architecture – dos and don’tsThis session is part of the...
Modern, Agile Data Architecture for IoT/ Streaming Analytics
The Internet-of-Things is further evolving to Internet-of-Anything. Organizations are empowering business users with actionable intelligence derived from, data-in-motion, data-at-rest, and enterprise applications. But integrating the data across all of the data sources requires a modern, agile data architecture.In this presentation, the Director of Product Marketing at Hortonworks, Anna Yong will present:The different types of data – in motion, at rest, and in enterprise appsHow to build a modern, agile data architecture to deliver actionable intelligenceCustomer use cases and best practices....
Enterprise View of Data with Semantic Data Layer
Gaining an enterprise view of the data across different independent lines of businesses is difficult when the operations, systems, and data are inherently siloed. VSP Global is a conglomerate operating different businesses across eyewear insurance, manufacturing, and retail. They are integrating the silos using a semantic data layer.In this presentation, the Enterprise Data Architect at VSP Global, Tim Fredricks will present:The challenges associated with data siloed across different LOBsHow to build a semantic data layer using data virtualizationCentralizing business rules in the data...
A Strategic Journey to Simplify Complex Data Integration
     A case study by the Johannesburg Stock ExchangeDenodo and Hoonar Tekwurks Consulting have joined forces to develop this webinar with the purpose of introducing data virtualization, its features and benefits to the wider business community in South Africa through a customer case study by the Johannesburg Stock Exchange (JSE) presented by Zakeera Mahomed, Lead Enterprise Architect and Chester Enslin, Application Portfolio Manager at JSE.Data virtualization facilitates and expedites access and exploration of important data in a timely and cost-effective manner, enabling organizations to...
Where does Fast Data Strategy Fit within IT Projects
Fast Data Strategy is a must for organizations to become and be competitive. There are four use cases where Fast Data Strategy fits within IT Projects - Agile BI, Big Data/ Cloud, Data Services, and Single View. In this presentation, hear how four customers used data virtualization and Fast Data Strategy for these use cases.
Data Virtualization Modernizes Biobanking
Learn how the Indiana CTSI is advancing Bioscience Discoveries with a Transformational Medical Informatics Platform supported using Data Virtualization.Translational research for genomic and biomarker discovery has been focused on supporting the development of more personalized therapeutic approaches for many years. This research requires higher-quality, well-annotated bio specimens, as well as the development of collaborative models to support the sharing of research sample and data assets. However, distribution of biorepositories on different platforms has led to redundancies and inhibited...
High Value Uses for Data Virtualization – Analytical, Operational, and Data Management Applications
This session will introduce key concepts and preview two new whitepapers written for Denodo Technologies by independent analyst Mike Ferguson focusing on how to best leverage Data Virtualization. It provides the most comprehensive coverage of different use cases for Virtual Data Services and organizes them into three categories – Analytical/Informational, Operational/Transactional and Data Management. Several real-world examples of these applications across a wide spectrum of industries are provided. The whitepapers are initially being made available “exclusively” to registrants to the World...