Seminar · London, United Kingdom

Data Virtualization for Agile Business Intelligence Systems 2012

Information Technology · Software: Business intelligence (BI) · Education, Training

Official website
Dates31 May 2012This edition has ended
VenueCrowne Plaza KensingtonLondon, United Kingdom
RunningSince 2012Frequency unknown · 2 editions on record
Last checked12 Nov 2026Organiser website checked
This is the 2012 edition. It has ended. See Data Virtualization for Agile Business Intelligence Systems's current page for the next dates.

Key numbers

Editions on record
2first in 2012

About Data Virtualization for Agile Business Intelligence Systems

In addition, new forms of reporting and analytics are being requested by the user community, such as operational analytics, 360˚ reporting, exploratory analysis, deep and big data analytics, self-service BI, and semi-structured and unstructured data analytics.

All these new requirements demand that BI systems are developed in a more agile way. One of the technologies making this possible today is data virtualization. In a nutshell, data virtualization decouples data sources from the application and reports, and by doing that it can present a heterogeneous set of data stores as one logical database to all the reports. Compared to ETL, where data integration takes place in a scheduled manner, with data virtualization data is integrated on-demand.

The last few years, various data virtualization servers have become available to develop these systems, including those of Composite, Denodo, IBM, Informatica, Information Builders, Queplix and RedHat. In many projects they have already proven that data virtualization technology is mature, does simplify BI systems, and makes them more severely more agile.

From our listing of this edition. Details may have changed since.

Editions

YearDatesWhereExhibitorsVisitors
201229 Nov 2012Crowne Plaza Kensington
London, United Kingdom
——
201231 May 2012Crowne Plaza Kensington
London, United Kingdom
——

Past editions from the bvents archive (2008–2019) and organiser figures where they were published.

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