Seeking Simplicity’s Sweet Spot
Albert Einstein, you may have heard, was a clever man. He scribbled equations on blackboards, thought big thoughts, and all of that. But, allegedly, he also said Everything should be made as simple as possible, but not simpler. These words have resonated with me recently, as I’ve heard pitches from one company after another, all...
Visualisation – the key that unlocks data’s value?
As the Big Data hype machine continues its relentless attempt to gobble everything in its path, new business units and entire new domains buying into the promise find themselves faced with unanticipated data volume and complexity. They see the potential for data-based decision making, but still face (short-term?) challenges in actually managing, analysing or interpreting...
Doing the DataBeat
For the past two years, Ben Kepes and I have helped the team at VentureBeat assemble the programme for their annual Cloud Computing event, CloudBeat. It looks as though we may end up doing something similar with them this year, as CloudBeat moves from Redwood City to downtown San Francisco, and from November to September....
Big Data as Core, Big Data as Context, and Big Data as Buzzword Bingo
It’s neither particularly newsworthy nor insightful to suggest that ‘Big Data’ gets everywhere these days, but two recent items reminded me of the gulf between credible execution of a big data play and the more questionable tacking of the big data meme onto an otherwise useful product. Christmas is coming. Which means skating, and pantomimes...
O’Reilly’s Strata comes to Europe, with a very British opening
O’Reilly’s Big Data extravaganza, Strata, left its native U.S. for the first time this week, coming to London for two days of data; the big, the open, the structured, the unstructured, and the undecided. Whilst many of the companies and issues are the same, whether you’re in London, California or New York City, there are...
The next big thing: WeeData
‘Big Data’ has a problem, and that problem is its name. Dig deep into the big data ecosystem, or spend any time at all talking with its practitioners, and you should quickly start hitting the Vs. Initially Volume, Velocity and Variety, the Vs rapidly bred like rabbits. Now we have a plethora of new V-words,...
Data Markets, revisited
Earlier this year, I conducted a series of podcasts with some of the leading lights in the Data Market business. We delved into the things that differentiated them from one another, and we searched for the areas of commonality that might provide some boundaries to the rather fluid concept of a market for a non-rival...
GigaOM Pro report on Hadoop and cluster management
My latest piece of work for GigaOM Pro just went live. Scaling Hadoop clusters: the role of cluster management is available to GigaOM Pro subscribers, and was underwritten by StackIQ. Thanks to everyone who took the time to speak with me during the preparation of this report. As the blurb describes, From Facebook to Johns...
The Americans are Coming
This October, two great US events are making their first forays into Europe. O’Reilly‘s big data conference, Strata, reaches London on 1-2 October. Then GigaOM‘s cloud computing event, Structure, hits Amsterdam on 16-17 October. I’ve attended both in the States (see disclaimer), and look forward to seeing how each sets about fusing the best elements...
Thinking about Data Gravity
Dave McCrory introduced his idea of Data Gravity with a blog post back in 2010. The core idea was — and is — interesting, and got some traction from sites like ReadWriteWeb, ZDNet and GigaOM. More recently, Data Gravity featured in this year’s EMC World keynote. But beyond the observation that large or valuable agglomerations of data...
CloudCamp London: the Big Data Special
The CloudCamp unconference returned to London for the 14th time this evening, regaling a capacity crowd in the Crypt below Clerkenwell’s St James Church with several hours of discussion and debate on the somewhat elusive topic of ‘Big Data’. Rather rough notes of the proceedings follow, after the break.
Nurturing the market for Data Markets
From Microsoft’s Azure Data Marketplace to the eponymous DataMarket, or InfoChimps, Factual, and Kasabi, there’s resurgent interest in the venerable business of collecting, curating, and commercialising data created by others. But despite investment and innovation, there isn’t yet the matching evidence for much use or — even — interest amongst prospective customers. In principle, at least, these data markets...
