Denodo Data Days: Vancouver

According to a recent Forrester survey, while 85% of organizations want to improve their use of data insights in their decision making, 91% of the respondents report that they are not able to improve upon their data-driven decision making. The problem - organizations often turn to the data lakes, data lake houses, cloud data warehouses etc. as their monolithic data repository, for all of their data and analytics needs. But the hard reality is that data is and will be spread across multiple repositories that extend across cloud and regional boundaries. Join us to gain key insights on why a logical data fabric powered by data virtualization is critical for any organization's data and analytics.

Technical skill can vary wildly across an organization. Some domain experts require full life cycle support; others may have existing processes they are hesitant to change. Adopting technologies with specific processes or skill levels in mind can add an extra layer of difficulty to data projects. Here we’ll show you our tested approaches that serve business units of all skill levels.

Self service is a major goal of modern data strategists. Denodo’s data catalog is a key piece in Denodo’s portfolio to bridge the gap between the technical data infrastructure and business users. It provides a true ‘data marketplace’ for business users, i.e an enterprise-wide directory of datasets available for consumption. It provides discovery capabilities for business users, enabling them to explore both data and metadata in a single Web front-end tool. In this session, we explore Denodo’s data catalog capabilities, including documentation, search, governance and collaboration capabilities, and data exploration wizards. It’s the perfect companion for a virtual layer to fully empower those self service initiatives with minimal IT intervention. It provides business users with the tool to generate their own insights with proper security, governance and guardrails.

In the analytics world there is a constant drive to provide business users with self-service access to fresh insights. This is often in conflict with the CDO's drive for better data governance and data security. Nimish Patel will discuss a new approach that uses technology to operationalize data governance while promoting analytic self-service.

Many companies have been modernizing their data infrastructure from legacy on-premises to modern cloud systems. But such a transition has not been easy - many companies had to re-architect their IT landscape to fit the new technology model, disrupting business. Data virtualization provides a layer of abstraction for the IT to transform their systems, while enabling the business users to continue their operations without disruption. In this session, we discuss how some of Denodo’s largest customers have successfully modernized their IT infrastructure using data virtualization as the data abstraction layer.