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Those who have dabbled into data virtualization, inquire about its performance characteristics. In this presentation, the head of Denodo product management will detail the 5 different capabilities available within data virtualization to accelerate the queries and deliver the results rapidly.

Presented at Chief Data Officer Live (APAC)

Data architecture is more relevant than ever today, because so many user organizations are migrating data to the cloud, modernizing analytics and data warehouses, deploying data lakes and lakehouses, and adopting new practices for data virtualization, sharing, monetization, and marketplaces.

Fireside chat by interviewee Diethard Frank, IT Manager Big Data & AI Services at Festo, and interviewer Otto Neuer, Regional VP Sales at Denodo.

Nobody needs to tell organizations dependent on supply chains that recent times have been full of uncertainty. Disruptions, economic challenges, global crises, and sudden changes in consumer demand continue to test resilience and agility.

In an increasingly distributed and complex data landscape, it is becoming increasingly difficult to govern and secure data effectively throughout the enterprise.

Data risk is a potential for business loss due to poor data governance or data mismanagement or lacklustre data security that makes it difficult to protect digital data from cyberattacks or data breaches.

Phoebe Bakanas, Sales Engineer at Denodo gives a product demonstration of Denodo Platform 6.0 with particular focus on how to create a complete view of the customer with data virtualization.Watch this demo to learn how to:

Data-Centric AI is the point of view around making it easier for practitioners to understand, program and iterate on datasets, instead of spending time on models. While contemporary AI and ML practices has been focused on models, the real-world experience of those who put models into production is that the data often matters more. The goal of this presentation is to explain the tenets of data centric AI such as Data Augmentation, Data tagging, Data Programming & Weak Supervision, Self-Supervision, and MLOps with a Data-centric approach to make it accessible by anyone who wants to understand and contribute to this area. Furthermore, we will explore how MLOps makes data centric AI an efficient and systematic process, and what role virtualized data fabric can play in Data-centric AI.

Real-time analytics techniques promise to enrich your traditional analytics with real-time data points. It's key for many scenarios like supply chain management or customer care. Data Virtualization is well known for offering real-time connectivity to diverse sources and federation capabilities: the two base ingredients for real-time analytics.