Hadoop – it’s not just hype! The community has shown tremendous interest in our plans for Hadoop – what will be supported, when it will be available, and so on. We’ve been blogging about big data and provided early plans for Hadoop, including SAS/ACCESS support for Hadoop. Well, it's official:
It’s hard to believe, but now that 2011 is almost over it’s time to look ahead. The technology pundits are starting to publish their 2012 predictions, and it’s not surprising to see topics like analytics, cloud, big data, mobile, social networking, virtualization, open source on these lists. Instead of creating
I’ve had many recent opportunities to discuss the role of IT and business based on recent research efforts, focus group conversations, customer visits and advisory board discussions. Some of the feedback is really striking and sadly comical – “They don’t get it, they don’t understand analytics” – I heard the
I recently attended Gartner’s IT Symposium, Gartner’s premier IT event. Since I’m not a fantasy city fan – sorry Disney, I mean Orlando, or was I in Las Vegas? - I was heavily motivated to attend the conference sessions. Although one can hardly scratch the surface of the content that
By now we have all heard how Yahoo uses Hadoop to optimize the user experience by ad and content targeting. We know that Hadoop is well suited for analysis or processing that can be distributed in a parallel fashion on multiple nodes. We know it’s great for managing big data.
Are you one of those people that love doing analysis? If so, there is nothing quite like analyzing customer patterns, revenue trends, inventory levels, cost optimization, etc. -- especially when you can use that analysis to make changes that will optimize your business. But before you can start the analysis,
David Loshin recommends enforcing governed standards to help avoid conflicting analytical results.
In my last post, we examined the growing importance of event stream processing to predictive and prescriptive analytics. In the example we discussed, we looked at how all the event streams from point-of-sale systems from multiple retail locations are absorbed at a centralized point for analysis. Yet the beneficiaries of those
Over the past few weeks I have been discussing the use of graph models for analyzing interconnectivity and how entity characteristics can be inferred in relation to links and connections. While we looked at the social network domain for identifying influential individuals within a social community, there are numerous other
Rich Murnane: a data management pirate looking at 40.
