A Simple blog about Business SOA and generally about how to drive IT from a business perspective. All opinions are mine and should be taken with a pinch of salt etc etc
Updated: 6 hours 2 min ago
In every change there are hype machines that over play and sages who call doom. Into the Big Data arena steps David Searls to proclaim that Big Data is a myth and simply hype which is set to burst in an article over at ZDNet. But big data, he said, is nothing more than the myth that collecting vast amounts of data can help companies know customers better than those customers even know
The seminal book on Open Source development "Cathedral and the Bazaar" talks eloquently about the difference between commercial software development and open source development. In the past few years however there has been another shift, a shift where companies are actively releasing their technology into Open Source as a competitive differentiation. A claim of 'we are open' because the source
I'm going to state a sacrilegious position for a moment: the quality of data isn't a primary goal in Master Data Management Now before the perfectly correct 'Garbage In, Garbage Out' statement let me explain. Data Quality is certainly something that MDM can help with but its not actually the primary aim of MDM. MDM is about enabling collaboration, collaboration is about the cross-reference
Over the last few years there has been a trend of increased spending on BI, and that trend isn't going away. The analyst predictions however have, understandably, been based on the mentality that the choice was between a traditional EDW/DW model or Hadoop. With the new 'Business Data Lake' type of hybrid approach its pretty clear that the shift is underway for all vendors to have a hybrid
There is a massive amount of IT hype that is focused on what people see, its about the agile delivery of interfaces, about reporting, visualisation and interactional models. If you could weight hype then it is quite clear that 95% of all IT is about this area. Its why we need development teams working hand-in-hand with the business, its why animations and visualisation are massively important.
Scoop, Flume, PIG, Zookeeper. Do these mean anything to you? If they do then the odds are you are looking at Hadoop. The thing is that while that was cool a few years ago it really is time to face it that HDFS is a commodity, Map Reduce is interesting but not feasible for most users and the real question is how we turn all that raw data in HDFS into something we can actually use. That means