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?Denodo recently commissioned Forrester Consulting to conduct a Total Economic Impact (TEI) study to quantify the benefits customers are experiencing with the Denodo Platform. Taking a multistep approach, Forrester interviewed several of Denodo’s longest standing customers to evaluate the...

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?Denodo recently commissioned Forrester Consulting to conduct a Total Economic Impact (TEI) study to quantify the benefits customers are experiencing with the Denodo Platform. Taking a multistep approach, Forrester interviewed several of Denodo’s longest standing customers to evaluate the...

Presented at Digital Gov and Cloud Summit 2021Data Virtualisation is a logical data layer that virtually integrates all the data siloed across the disparate systems in an organisation, what-ever its format or structure. This presentation outlines how public sector organisations can leverage data virtualisation to:Create a sophisticated data service to easily share data within and across facilities in real-timeImplement a centralised governance framework and roll out security and access control measuresIntegrate data spread across on-prem legacy systems and cloud systems to find the single “...

In this webinar, we will hear from leading independent business intelligence analyst, Rick van der Lans, the benefits of creating a logical data fabric and why data fabrics, in general, are the only successful modern architecture for data integration and data management projects. We will learn from Rick how a logical data fabric smooths away the challenges of all of the competing data architectures business users, data scientists, and other data consumers come across when interfacing with disparate data sources in data lakes, data hubs, data warehouses, and other data silos.Rick will discuss...

Presented at FST Future of Financial Services SydneyThe challenges that Crédit Agricole faced in leveraging dataHow Crédit Agricole implemented logical data fabric using data virtualizationRecipes for success, for similar implementations

In the recent Building the Unified Data Warehouse and Data Lake report by leading industry analysts TDWI, we have discovered 64% of organizations stated the objective for a unified Data Warehouse and Data Lakes is to get more business value and 84% of organizations polled felt that a unified approach to Data Warehouses and Data Lakes was either extremely or moderately important.In this session, you will learn how your organization can apply a logical data fabric and the associated technologies of machine learning, artificial intelligence, and data virtualization can reduce time to value....

Presented at Chief Data Officer November 2021 (A/NZ)Building self-service capabilities on a trusted foundation is the key to successfully unlocking your data assets and becoming more insights driven. Security, data privacy, and data protection represent concerns for organizations that must comply with policies and regulations that can vary across regions, data assets, and personas. Many organizations are struggling to find the best way to provide self-service to a single source of truth to all business users without having to move and make multiple copies of the data.Watch on-demand this...

In this panel discussion, Robin Tandon, Director of Product Marketing at Denodo, interviews a Denodo customer, Jan Swanepoel, Multi-Product Technical Specialist for Enterprise Data Services at Nedbank; a Denodo partner, Douglas Clarke, Divisional Director at BITanium; and Alexey Sidorov, Data Science Guru and Evangelist at Denodo; to discuss the role of data virtualization in enabling data governance, even in highly challenging environments.

Data scientists have three requirements for efficiently performing data science and advanced analytics: (1) access to wide-ranging enterprise data, (2) flexible modeling, and (3) easy data preparation. It is easier if all the data is normalized and stored in a single repository, but, in reality, data is stored across multiple systems and applications on premises or in the cloud, in diverse formats—structured, unstructured, and semistructured, and in different latencies—at rest or in motion.Logical data fabric powered by data virtualization promises to provide access to all enterprise data in...

In Denodo’s global annual cloud survey, a majority 35% of respondents said that they were rearchitecting their data infrastructure to transition their legacy systems to the cloud. Such fundamental change to your existing architecture is like remodeling your home – it’s not easy!Many companies attempt to move all of the on-premises data into a cloud object storage using data migration/replication tools, then transform the data in it to the destination format, and then load the transformed data into their equivalent cloud data systems (like cloud data warehouse). This approach is no different...