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When you hear data virtualization, do you think BI and analytics? If so, you’re misinformed and missing out on a whole set of possibilities and capabilities of this technology. It is probably also why you think data virtualization is of no use to you if you need to access your data through APIs.This is why we’re back with another episode of Myth Busters!
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Today’s users demand reports with better business insights, more information sources, real-time data, more self-service and want these delivered more quickly, making it hard for the BI professionals to meet such expectations. This white paper outlines how the use of data virtualization can help BI professionals to accomplish these goals.
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The onset of the pandemic witnessed acceleration in digital transformation of major sectors, especially financial services. Financial establishments are redefining the digital customer journey by understanding the customers’ changing priorities and preferences, providing innovative and personalized offerings with an integrated digital framework.
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The Development Quick Start Module is designed for any company that needs support for the initial definition of basic development processes with the Denodo Platform.
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At the rate which enterprise data volume is increasing, replicating data to a central repository for analysis purposes is slow and expensive which might not even be a necessary part of the data integration process in many situations.
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Welcome to the factory of the future, where automation thrives, disruptions are minimized, supply chains are transparent, demand is predictable, and processes are driven by intelligent, data-based operations.
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Today’s data management landscape is becoming increasingly complex, as data is spread out across many heterogeneous data systems (data warehouses, columnar databases, MPP engines, specialized data stores, SaaS/cloud applications, etc.) that can be in multiple locations (on-premises, cloud, etc.).
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One of Canada’s largest public health service providers, responsible for the healthcare of over a million people needs to reliably and securely manage a large amount of data, much of which is comprised of personal health records, prescription information, lab results, and other sensitive information.This customer case study will cover: ­
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In this era of big data and increasingly capable cloud technologies, organizations are not lacking data; in fact, many are sitting on a virtual gold mine. As The Economist put it in a recent headline, “The world’s most valuable resource is no longer oil, but data.” Unfortunately, not all organizations today are able to gain the maximum value from their data.
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In this video, Dan Young, Chief Data Architect at Indiana University, discusses how they used data virtualization to improve their decision-making across the university.
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