data marketplace

Presented at Collibra Data Citizens 2022At Cymer/ASML, the data assets are distributed across the company, starting from machine data generated from the customer fabrication sites and the business process data generated from the internal processes across internal manufacturing, supply chain, inventory, service & support lines.Join Ravi Shankar, Senior VP and CMO at Denodo, as he sits down with Dr Sathyan Munirathinam, Principal Architect, IT Data Services and Analytics Platforms at ASML, the innovation leader in semiconductor industry, to discuss how ASML is using Denodo's logical data...

2022 is coming to an end but our need for data never ends. We are continually looking for new ways to improve the data services that we provide and adopt new strategies to reduce costs while still delivering value. At this session we will look at the key takeaways for 2022 in data management and data integration, including;Data management and data integration market highlights for 2022Key achievements for Denodo in their journey as a leader in this marketA customer case study from Hastings Deering, Australia on how they have leveraged data virtualization for their Data Marketplace strategy...

To harmonize the DNB data landscape, improve the productivity of data analytics users, and leverage the latest data science use cases, DNB implemented the Denodo Platform as a data marketplace for the data science team.

Panel by Steve Totman, Chief Strategy Officer at Privitar; Bruno Grieder, CTO & Co-Founder at Cosmian; and Jake Lundberg, Field CTO at HashiCorp; and moderated by Pablo Alvarez Yanez, Global Director Product Management at Denodo.

Fireside Chat by Interviewee Felix Liao, Direcotor of Product Management at Denodo; and interviewer Saptarshi Sengupta, Sr. Director of Product Marketing at Denodo.

Presented at Chief Data Officer September 2021 (A/NZ)Watch on-demand this session to understand how data virtualization can be used to:Seamlessly implement the concept of 'Data Marketplace'Enable all business users to derive value from self-service analytics toolsApply consistent security and governance policies across the enterprise data architecture

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, Data Platform Lead, 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.