There's a lot of talk right now about the Internet of Things and how it's likely the prime catalyst for the digital transformation of organizations over the next few years. Billions of sensors, and devices with sensors, all generating data in a hyper-connected world where it can be easily shared
What does the future of analytics look like in your organizations enterprise architecture? Does it include thinking about a two speed approach to analytics which includes both: An agile rapidly changing analytics platform for innovation (a lab) seperated from operations and broad enterprise audience usage A slowly moving systematic enterprise analytics platform (a factory)
Recently I have been out speaking with a number of organizations about the idea of the innovation lab concept , which I discussed in a previous blog post, as the way to unleash the power of big data and make even the largest of companies as agile as a startup. During my
Earlier this week I managed to catch up briefly with Christoph Sporleder, Vice President Centers of Excellence for EMEA & Asia Pacific, to talk Hadoop, big data and get some of his views on where we might be headed with big data. Mark Torr: Is big data just a buzz
All hail the data lake, destroyer of enterprise data warehouses and the solution to all our enterprise data access problems! Ok – well, maybe not. In part four of this series I want to talk about the confusion in the market I am seeing around the data lake phrase, including
Working out where Hadoop might fit alongside, or where it might replace components, of existing IT architectures is a question on the minds of every organization that is being drawn towards the promises of Hadoop. That is the main focus of this blog along with discussions of some of the reasons they
In the first installment of this series on Hadoop, I shared a little of Hadoop's genesis, framing it within four phases of connectivity that we are moving through. I also stated my belief that Hadoop has already arrived in the mainstream, and we are currently moving from phases three of connecting people to phase four
In the world of IT, very few new technologies emerge that are not built on what came before, combined with a new, emerging need or idea. The history of Hadoop is no exception. To understand how Hadoop came to be, we therefore need to understand what went before Hadoop that led to its creation. To understand
