data marketplace

Presented at Chief Data Officer July 2021 (A/NZ)The current data landscape is fragmented, not just in location but also in terms of processing paradigms: data lakes, IoT architectures, NoSQL, and graph data stores, SaaS applications, etc. are found coexisting with relational databases to fuel the needs of modern analytics, ML, and AI. Data Virtualization is a modern data integration technique in which a single semantic layer can be built containing semantic definitions of all of the underlying sources.Watch on-demand this session to understand how data virtualization:Helps organisations...

Presented at FIMA Connect Virtual EventSelf-service is often touted as the holy grail of analytics - allowing users to discover and access data without having to ask IT to create them a data mart or otherwise extract and export the data. The challenge is not just to provide access to the data - there are tools that do this already - but to do this in a managed and governed way so that you can trust the output of the analysis. Without this, we end up with the fabled 'Tower of Babel' with no standards and no governance.

DNB is Norway's largest financial services group and one of the largest in the Nordic region in terms of market capitalisation. The Group offers a full range of financial services, including loans, savings, advisory services, insurance and pension products for retail and corporate customers. In this video Olav Lognvik, Senior IT Architect, DNB discusses in detail the data virtualization use cases.This customer case study video will cover: ­ DNBs business challenge ­How they used data virtualization to address this business challenge ­What the benefits of data virtualization are in their...

Data is treated truly as an asset at Guardian Life. We have created a Data Services Marketplace which contains valuable data from the underlying sources and is used by business users for day-to-day operations. In this presentation we will talk about how Data Virtualization can be used to support the marketplace with real-time data services, provision non real-time data into Hadoop, and swap underlying sources without affecting business users.