data architecture

Showing 81 - 85 of 85 pages tagged with: data architecture

Customer Case Study: Statistics Netherlands

In this video, Paul Grooten, Data Architect from Statistics Netherlands explains why they chose the Denodo Platform to help solve their business challenge. Statistics Netherlands needed to find a way to share their 10,000 data sets easily and securely to both their internal and external users.This customer case study video will cover:Statistic Netherland’s specific business challengeHow they used data virtualization to address this business challengeWhat the benefits of data virtualization are in their particular caseWhy they chose the Denodo platformHow they plan to utilize the Denodo...

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Reinvent Your Data Management Strategy for Successful Digital Transformation

Leaders are re-inventing their data management strategies through the effective use of IoT, Big Data, and data science to boost their customer experience. Yet, they struggle to modernize their data architecture due to lack of global data management processes and technologies.Attend this session to hear from the Big Data pioneer, Hortonworks:Why big data and data virtualization should be core technology components of your digital transformationHow to manage, govern, and secure your global data footprint across a hybrid multi-cloud landscapeLearn about key global data management strategies and...

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Business Needs for a Fast Data Strategy

Gordon Griffin, Chief Architect, Altus Analytics presents how Altus Analytics built a 3 tier modular architecture to tackle particular BI data modelling challenges.

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Asurion Achieves Cloud Modernization with Proper Data Security and Governance

How Asurion were able to engage in predictive analytics with data scattered across text, voice, streaming data, third-party data, and various other structured, unstructured, and telemetry based sources.

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Data Virtualization Deployment in a Leading Information Services Company

Oil companies are finding it increasingly challenging to maintain their profit margins for multiple reasons including difficulty in accessing new reserves and fluctuating economic and political conditions. With global recession and slow growth conditions further moderating oil prices, energy companies need to find other ways to improve revenue; they need to become more efficient.

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