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Topic: Data Virtualization
Rick van der Lans Webinar Replay: Data Virtualization Architecture for BI Projects
Join internationally acclaimed speaker Rick van der Lans and Dr. Ken E. Atilgan from Volkswagen for a webinar replay: “Looking Under the Hood – Data Virtualization Architecture for BI Projects”.
Today, new and dynamic business requirements demand that business intelligence systems are developed in a more agile way. In many BI projects, data virtualization is already playing a big role in decoupling data sources from applications and reports, presenting a common logical database and accelerating the delivery of new data and reports.
During this interactive roundtable session Informatica’s David Lyle, Rick van der Lans, and Dr. Ken E. Atilgan from Volkswagen, discuss and share their thoughts on:
- How business intelligence systems can benefit from data virtualization
- The right architecture for an agile business intelligence system
- How to migrate to a more agile business intelligence system
| Topics Covered | Data Virtualization |
The Forrester Wave: Data Virtualization, Q1 2012
In this report, Forrester evaluated each vendor’s Current Offering against 40 criteria that focus on core and advanced functionality. In addition, Forrester also scored each vendor’s Strategy by assessing six criteria including data services vision, development roadmap, commitment, financial resources to support strategy, pricing structure, and development cost. Informatica received the highest scores across both categories.
This Forrester report covers:
- How data virtualization is gaining momentum across industries
- A comprehensive data virtualization evaluation
- Global data virtualization deployments
| Topics Covered | Data Services, Data Virtualization |
Rick F. van der Lans White Paper: Developing a Data Delivery Platform with Informatica Data Services – A Technical White Paper on Next Generation Data Virtualization
The Data Delivery Platform (DDP) is a modern architecture for developing Business Intelligence systems where data consumers – such as reporting and analytical tools – are decoupled from data stores.
This White Paper, by independent analyst Rick F. van der Lans describes how to develop such a Business Intelligence (BI) architecture using Informatica Data Services. The concepts and facilities of Informatica Data Services are described in great detail and with real-life scenarios so developers and BI specialists get a true feeling of how it works, what its features are, and what it would mean to develop a DDP-based Business Intelligence architecture using this product.
| Topics Covered | Data Services, Data Virtualization |
Informatica Webinar Replay: Data Virtualization Best Practices for a Complete View of Enterprise Data
Join Informatica for a webinar replay featuring Simon Slocombe, Director of Consulting at Evaxyx. During this webinar replay you will learn about architectural best practices to help deliver the complete view of enterprise data.
Register for Informatica Webinar Replay
Many companies struggle to get a single, complete view of the customer and their overall business. Master Data Management (MDM) is often implemented to ensure a single, consistent master data, such as a customer profile or product summary information, across the many systems that exist in an enterprise. But it is not just the data needed for the complete view.
| Topics Covered | Data Services, Data Virtualization, Master Data Management (MDM) |
Informatica Webinar Replay: Data Virtualization Architecture and Best Practices for Agile Business Intelligence (BI), Master Data Management (MDM) and Service-oriented architecture (SOA)
Join David Lyle and Michael Poulin for a webinar replay to learn more about “Data Virtualization Architecture and Best Practices for Agile BI, MDM and SOA”.
Register for Informatica Webinar Replay
It takes the IT team too long to deliver the data that business needs. Even when the business get the data, the trust factor is low. The key challenge is data is everywhere – not just in a data warehouse or a single persistent store. It’s in numerous applications, relational databases or files across the enterprise. Adding to the chaos, business and IT often create one-off spreadsheets, custom extracts and data marts, wrap Web services around simple data access, use application integration tools for complex data integration tasks – resulting in data services that are inflexible and have low reuse proliferation and the duplication of data that may not be consistent and current, not to mention increased storage and hardware costs.
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