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TAG REFERENCES

Showing 1 - 10 of 27 pages tagged with: Logical Data Warehouse
Data Services – Rapid Application Development using Data Virtualization
Drillinginfo uses data virtualization to manage and quickly provision data to the product development team and its customers. Drillinginfo will present how they have created a virtual data abstraction layer using data virtualization and reduced creation of web services for application development time from 1 – 2 weeks to less than a day.
Supporting Data Services Marketplace using Data Virtualization
Data is treated truly as an asset at Guardian Life. We have created a Data Services Marketplace which contains valuable data from the underlying sources and is used by business users for day-to-day operations. In this presentation we will talk about how Data Virtualization can be used to support the marketplace with real-time data services, provision non real-time data into Hadoop, and swap underlying sources without effecting business users.
Data Virtualization for Compliance – Creating a Controlled Data Environment
CIT modernized its data architecture in response to intense regulatory scrutiny. They will present how data virtualization is being used to drive standardization, enable cross-company data integration, and serve as a common provisioning point from which to access all authoritative sources of data.
Data Virtualization Journey: How to Grow from Single Project and to Enterprise Adoption
Data virtualization is an agile technology that can be deployed for multiple use cases within a company. In this presentation, Intel will present their journey, starting small and growing Data Virtualization to an Enterprise IT enabling use cases such as samples management, cloud, and big data for sales and marketing.
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.
Data Virtualization Deployments: How to Manage Very Large Deployments
This session will explore key features in the Denodo Platform that help with the common challenges found in large deployments: hundreds of developers, thousands of queries, and multiple environments. The features that will be highlighted include integration with version control systems, metadata synchronization and migration, monitoring and diagnosing, and resource management.
Analyst View of Data Virtualization: Conversations with Boulder Business Intelligence
In this presentation, executives from Denodo preview the new Denodo Platform 6.0 release that delivers Dynamic Query Optimizer, cloud offering on Amazon Web Services, and self-service data discovery and search. Over 30 analysts, led by Claudia Imhoff, provide input on strategic direction and benefits of Denodo 6.0 to the data virtualization and the broader data integration market.
Ten Pillars of World Class Data Virtualization
This session describes how to achieve a successful and mature enterprise data virtualization solution. You will learn the key attributes to look for in an enterprise DV platform, as well as the journey to maturity from an implementation perspective and how such a solution can impact your fast data-driven business outcomes.
Data Virtualization for Survival in Today's Market
Customers have more information and options at their disposal than ever before. Data volumes are growing exponentially, and it is becoming increasingly important to capture unstructured information from social media sites and other internet resources. Kadenza and Denodo have joined forces to offer companies a solution based on data virtualization. Read the brief to learn about the next step in implementing a Denodo-Kadenza Joint Solution for your enterprise.