data architecture

Denodo presentation by Anastasio Molano, Senior VP, EMEA, Denodo

There’s a wide range of reasons why many organizations are deciding to modernize their data architectures. But they all agree on one thing: by using data more effectively, more widely, and more deeply, they can improve and optimize business and decision-making processes that will help them stay competitive in the emerging digital economy.To prepare data architectures for the next evolution of analytics, the current systems that rely on physical data movement and redundant data storage, must be modernized. However, for it to be effective, modernization must be seamless and must not disturb...

An eclectic mix of old and new data drives every decision and every interaction, but too many organisations are attempting unsuccessfully to consolidate this data into a single repository which is time-consuming, resource-intensive, expensive, and risky.Join this Denodo and HCL Webinar to discover how data virtualization provides an effective modern day architecture and an alternative to data consolidation and the challenges of fragmented data ecosystems and traditional integration approaches. We will share stories and provide multiple perspectives on best practices and solutions.Content will...

In this video, Paul Grooten, Former 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...

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...

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

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.