• “Achieving continuous innovation, Hamel stresses, “lies outside the performance envelope of today’s bureaucracy-infused management practices.” It will require major changes in mind and heart. It will need, Hamel writes, new values, new processes for innovation, a greater adaptability, the infusion of passion in the workplace and a new belief system or ideology.”

    tags: Innovation Hamel

  • An excellent piece in the NYT on all things big data.

    “GOOD with numbers? Fascinated by data? The sound you hear is opportunity knocking…”

    tags: bigdata nytimes

  • “For years now, it has been self-evident to us at RedMonk that programming language usage and adoption has been fragmenting at an accelerating rate [coverage]. As traditional barriers to technology procurement have eroded [coverage], developers have been empowered to leverage the runtimes they chose rather than those that were chosen for them. This has led to a sea change in the programming language landscape, with traditional language choices increasingly competing for attention with newer, more dynamic competitors.

    The natural consequence of this tectonic shift has been uncertainty. Vendors for whom supporting Java and Microsoft based stacks was once sufficient are being forced to evaluate the array of alternatives in an effort to maximize their addressable audience. Platform-as-a-Service (PaaS) stacks like Cloud Foundry and OpenShift are perhaps the best example of this; the differentiation for each at launch was in part their support for multiple independent runtimes from JavaScript to Ruby.

    While the question is obvious – which languages should I support? – the answer, and mechanisms for determining an answer, have been considerably less so….”

    tags: programming language sogrady redmonk

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  • Colin on the need to break free of batch based MapReduce: “All of these recent shifts from companies like Google, Yahoo, and others no longer see a competitive advantage in batch based MapReduce. The future has arrived, let’s look at some evidence…”

    tags: continuousquery mapreduce hadoop realtime

  • Excellent post / advice:

    “I follow a style of development that greatly reduces the risk of big projects like Storm. I call this style “suffering-oriented programming.” Suffering-oriented programming can be summarized like so: don’t build technology unless you feel the pain of not having it. It applies to the big, architectural decisions as well as the smaller everyday programming decisions. Suffering-oriented programming greatly reduces risk by ensuring that you’re always working on something important, and it ensures that you are well-versed in a problem space before attempting a large investment.

    I have a mantra for suffering-oriented programming: “First make it possible. Then make it beautiful. Then make it fast.”"

    tags: development storm pragmatism iteration

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  • “Mr. Wozniak offers this guidance to aspiring inventors:

    “Most inventors and engineers I’ve met are like me … they live in their heads. They’re almost like artists. In fact, the very best of them are artists. And artists work best alone …. I’m going to give you some advice that might be hard to take. That advice is: Work alone… Not on a committee. Not on a team.”

    tags: creativity woz nytimes groupthink

  • “Sounds like a Marvel Comics action hero, right? But having launched countless creative teams, I know from experience that when they’re in the throes of team hell, they in fact need a hero: someone with a special talent for being at once the glue and the grease that keeps the machine working at peak effectiveness. Someone who can lead them to predictable success.

    That’s where the “Synergist” comes in.”

    tags: synergy synergist matthewmay

  • The Creative Personality: Ten paradoxical traits of the creative personality By Mihaly Csikszentmihalyi

    tags: creativity

  • Review of test drive: Amazon, Cloudera, Hortonworks, IBM and MapR

    tags: hadoop

  • Martin Fowler on need to mix and match db persistence models and programming models. Follow the link for PolyglotPersistence.

    “This is part of the argument for PolyglotPersistence – use aggregate-oriented databases when you are manipulating clear aggregates (especially if you are running on a cluster) and use relational databases (or a graph database) when you want to manipulate that data in different ways.”

    tags: nosql martinfowler

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  • Paul Vincent on events and Higgs boson:

    “Earlier this month Dr Neil Geddes gave a fascinating presentation at the BCS on “Data Processing at the Large Hadron Collider”, describing how LHC experiments create 1 Billion events per sec of which they can record in detail 100 events per sec.”

    tags: event_processing tibco higgs-boson

  • I would edit this to be: “Make event-driven architecture and complex event processing first-class citizens”, but I can live with the following from Gartner:

    “Make event-driven architecture and complex event processing first-class citizens in data modeling work and metadata repositories.”

    tags: 2012 gartner event_processing

  • I get my best ideas during dog walks… not to mention, some really out there ideas as well.

    “Jonah Lehrer, a neuroscientist and the author of the soon-to-be-released book, “Imagine: How Creativity Works,” said in a phone interview that our brains often needed to become inattentive to figure out complex issues. He said his book discussed an area of the brain scientists call “the default network” that was active only when the rest of the brain was inactive — in other words, when we were daydreaming.

    Letting the mind wander activates the default network, he said, and allows our brains to solve problems that most likely can’t be solved during a game of Angry Birds.”

    tags: problem-solving

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  • FINALLY! –> Streaming data processing: “Over the next few years we’ll see the adoption of scalable frameworks and platforms for handling streaming, or near real-time, analysis and processing. In the same way that Hadoop has been borne out of large-scale web applications, these platforms will be driven by the needs of large-scale location-aware mobile, social and sensor use.

    For some applications, there just isn’t enough storage in the world to store every piece of data your business might receive: at some point you need to make a decision to throw things away. Having streaming computation abilities enables you to analyze data or make decisions about discarding it without having to go through the store-compute loop of map/reduce.

    Emerging contenders in the real-time framework category include Storm, from Twitter, and S4, from Yahoo.”

    tags: bigdata streaming realtime

  • “They work very hard to stay very small. Even top-tier talent is turned aside or denied. The emphasis has shifted from “how do we successfully scale the team?” to “how do we successfully scale the team’s influence and deliverables?” Instead of seeing an explosion of virtual teams, what’s emerged are teams cleverly using digital and social media to extend their reach both inside the enterprise and out. Key suppliers and channels are contacted on an “as needed” basis”

    tags: innovation teams hbr

  • “Today the question is, why can’t Johnny search?

    Who’s to blame? Not the students. If they’re naive at Googling, it’s because the ability to judge information is almost never taught in school. Under 2001’s No Child Left Behind Act, elementary and high schools focus on prepping their pupils for reading and math exams. And by the time kids get to college, professors assume they already have this skill. The buck stops nowhere. This situation is surpassingly ironic, because not only is intelligent search a key to everyday problem-solving, it also offers a golden opportunity to train kids in critical thinking.”

    tags: information literacy criticalthinking

  • “Many organizations, she argues, struggle with a “paradox of expertise” in which deep knowledge of what exists in a marketplace or a product category makes it harder to consider what-if strategies that challenge long-held assumptions. “When it comes to innovation,” she writes, “the same hard-won experience, best practice, and processes that are the cornerstones of an organization’s success may be more like millstones that threaten to sink it.” “

    tags: innovation hbr

  • The goal in quantum computing is to choreograph a computation so that the amplitudes leading to wrong answers cancel each other out, while the amplitudes leading to right answers reinforce.

    tags: quantum computing

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