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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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Presented at Chief Data Officer December 2021 (A/NZ)
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Why Data Virtualization is the Right Technology for an Agile and Flexible Big Data Fabric
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Development Quick Start Module
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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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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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Denodo Enterprise Datasheet
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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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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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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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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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Myth Busters: I Access My Data Through APIs–Data Virtualization Can't Do This (Australia)
Webinar