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Cloud Based BI – Understanding The Options Is the Biggest Barrier
Posted by admin | June 22, 2010 | BlogLast week I was in Munich to present at the annual TDWI (The Data Warehouse Institute) conference on “Business Intelligence and Data Management in a Cloud Computing Environment”. It was a very well attended conference with some great speakers and sessions. My session focused on the following: What is Cloud Computing and why use it […]
Chasm Not Crossed as A Sensor Data Tsunami Comes Over The Horizon
Posted by admin | June 21, 2010 | BlogJust over a week ago I spent a day at SensorExpo in Chicago to present on Complex Event Processing (CEP) discussing how CEP engines, Predictive Analytics, business rules can be used to analyse sensor emitted event data in-motion to facilitate business optimisation. This was a very busy conference. I estimated at least 2000-3000 people on […]
Microsoft Opens Up Collaborative and Self-Service BI
Posted by admin | June 21, 2010 | BlogJust over a week ago I was invited to attend an analyst briefing at the Microsoft BI conference in New Orleans that was running alongside the Microsoft TechEd conference. The conference itself was very well attended with several thousand delegates. Several things were on show at this event including SharePoint 2010, SQL Server 2008 R2, […]
Posted by Mike Ferguson | December 18, 2009 | Blog
Following on from my last blog on data federation, the next data federation pattern I would like to discuss is an On-Demand Information Services Pattern. This is as follows: Pattern Description This pattern uses data virtualisation to provide on-demand integrated data to applications, reporting tools, processes and portals via a web services user interface. Structured […]
Data Federation- Master Data Patterns – The Virtual MDM Pattern
Posted by Mike Ferguson | December 11, 2009 | BlogFollowing on from my last blog on data federation, the next data federation pattern I would like to discuss is a Master Data Virtual MDM pattern. This is as follows: Pattern Description This pattern uses data virtualisation to provide one or more on-demand integrated views of master data entities such as customer, product, asset, employee, etc., […]
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