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Today, businesses have more data and data types combined with more complex ecosystems than they have ever had before. Examples include on-premise data marts, data warehouses, data lakes, applications, spreadsheets, IoT data, sensor data, unstructured, etc.

Data holds endless potential for agencies and companies. But if not properly shared, analyzed and visualized, that potential cannot be reached. As the federal data strategy encourages building a culture that values data and promoting public use, agencies are learning how to effectively prepare data for sharing and to convey insights — and traditional approaches won’t maximize their efforts.

Engie is a major energy generation and distribution company in Mexico. The rise of digital technologies and the explosion of data from customers and business processes pushed Engie towards building the capabilities to fully exploit the potential of these technologies and that of its data assets. DA VINCI Project (Data Virtualization and Capability Integration) was designed to further Engie’s data-driven strategy, which has already resulted in the enablement of various new data-driven use cases. Through the prism of DA VINCI Project, Luis Guadarrama will showcase how Engie successfully implemented its various data-driven initiatives and the role data virtualization played in that.

Join Denodo CEO Angel Vina and CMO Ravi Shankar in this session to hear about the latest trends in data management, the role of data virtualization, and logical data fabric and how Denodo is helping to solve some of the toughest data management problems.

Presented at IDC CIO Summit 2021 (Australia)

This test drive is built on the Google Cloud Platform ecosystem to solve typical challenges faced by data engineers and data analysts It pro

Presented at DAMA Vancouver

In tertiary education, there is an industry mandate to use data for better student experience and support, as education becomes increasingly personalised and is seamlessly delivered through in-person and online channels. This data is also vital for student safety and care —this was the case particularly during the COVID-19 crisis.

As enterprise data gets distributed across cloud and regional boundaries, a data virtualization layer becomes critical for enterprise data integration, management and delivery. You are looking to invest in data virtualization (DV), but how do you measure the return on investment (ROI) from data virtualization?

As enterprise data gets distributed across cloud and regional boundaries, a data virtualization layer becomes critical for enterprise data integration, management and delivery. You are looking to invest in data virtualization (DV), but how do you measure the return on investment (ROI) from data virtualization?