You are here

TAG REFERENCES

Showing 1 - 8 of 8 pages tagged with: ESB
Data Services Marketplace Customer Success Stories
In this video, Paul Moxon, Sr. Director in the Strategic Technology Office at Denodo, presents data services marketplace customer success stories, using DrillingInfo and Guardian Life as main examples.  DrillingInfo is a SaaS based platform that provides business intelligence and decision support technology, and Guardian Life is a large mutual life insurer.  Moxon goes over the each company’s initial challenges, the reference architectures used in their deployments, and how they created their data services marketplaces.  This video is part of the Denodo Educational Seminar (recorded in New...
Data Services Marketplace Challenges
Rubén Fernández, Sales Engineer at Denodo, outlines the challenges you need to be aware of when planning to build a data services marketplace. One of the major challenges is security and privacy of your data:  how it’s protected, controlled and audited.  Furthermore, Fernandez discusses performance and quality (QoS) as well as data governance and veracity, showing how to ensure that the data being saved is good.   This video is part of the Denodo Educational Seminar (recorded in New York on June 2016). Other related videos: 
Data Services Marketplace Demo
This video includes a data services marketplace demo.Rubén Fernández, Sales Engineer at Denodo, shows the virtual layers included in a data services marketplace. Using the Denodo Virtual DataPort Administration tool, he explains how the data services layer (provisioning layer) enables the delivery of data in several formats from any interface. Additionally, he demos the Denodo Information Self-Service tool so the non-technical users can understand the information they receive. Using Denodo Information Self-Service tool, users can easily access databases, searches or associations which they...
Data Services Marketplace
What is a data services marketplace? Why do you need one?  In this video, Paul Moxon, Sr. Director in the Strategic Technology Office at Denodo, answers these questions and more.  Moxon describes a conceptual architecture for a data services marketplace and the enabling technologies needed to build one. He lists out the main benefits of data services marketplaces and points out the challenges that need to be addressed, like performance, quality of services, SLA or privacy.   Toward the end of the video, you will see different ways to implement data services using distinct technologies,...
Data Integration Alternatives: When to use Data Virtualization, ETL, and ESB
IT organizations find several challenges when responding to business needs. Data integration is paramount and this talk describes three different paradigms: using client-side tools, creating traditional data warehouses and the data virtualization solution - the logical data warehouse, comparing each other and positioning data virtualization as an integral part of any future-proof IT infrastructure.
Capitalizing on Your SOA with Data Virtualization (NA)
A robust SOA infrastructure is the lifeblood to application and process integration within the organization. However, the SOA stack (ESB, BPM, CEP, and so on) has often not mixed well with the traditional data integration stack – in most cases, data integration has been the ‘poor cousin’ in this relationship. Data Virtualization allows you to easily and quickly create a virtual data services layer to integrate cleanly into your SOA infrastructure – and also support new initiatives, such as mobile and cloud applications.Attend & Get Unique Insights into:
Capitalizing on Your SOA with Data Virtualization (EMEA)
A robust SOA infrastructure is the lifeblood to application and process integration within the organization. However, the SOA stack (ESB, BPM, CEP, and so on) has often not mixed well with the traditional data integration stack – in most cases, data integration has been the ‘poor cousin’ in this relationship. Data Virtualization allows you to easily and quickly create a virtual data services layer to integrate cleanly into your SOA infrastructure – and also support new initiatives, such as mobile and cloud applications.Attend & Get Unique Insights into:
Data Virtualization R: a Success Story
Leveraging the real value of all data is not an easy task. Organizations compile and store data from multiple channels, stored in different information systems, from heterogeneous environments, and in different formats. Direct and real time access to data and the efficient management of this data is a growing concern. The scale of the problem is such that it can lead to the downfall not only of ICT projects, but also of strategic business initiatives and even companies. An organization´s data integration layer is a critical component and there is a tendency to be overly optimistic about its...