Re: Big Data Partnering @Anna I'd look at that as a threat matrix... but adapt it into a speed matrix. What is the fastest route to take? As Ben discussed in yesterday's webinar, even bringin vendors in requires 'ramp up' time - so you need to know what you would benefit from (as usual) - but also envision how it will impact your overall speed. Will it deccelerate you in the short term but result in an overall higher top speed?
User Rank: Exabyte Executive 1/31/2013 | 8:12:07 AM
Big Data Partnering When planning Big Data project, I suppose it's easier and more straightforward identifying and bringing in employees from the company but at what point in the project should an enterprise involve external stakeholders such as suppliers and joint venture partners? What are the likely concerns from the IP perspective and what's the best strategy for addressing those potential hiccups on the way?
Supernova Heights Interesting HR point from @Ben here, "You will find that developers can go supernova for about two months at the most before it becomes too much, and you'll need to dial things back."
I wonder if this is often the first consideration to go out the window when pressure comes from on high to get the data doing what it is supposed to. There must be a lot of great staff who burnt out and became disillusioned on the back of more than two months expending the brilliant white light of that supernova's energy.
Re: blasted business @legalcio and the next step is for this ill definition to result in the C level losing patience with the big data operation. What Ben's pragmatic advice here offers are ways to ensure that those first signs of ROI are seen as quickly as possible. Not just to the data team, but in a way that the proof can be shown up the chain - resulting in more patience, more investment, and bigger results (we all hope)!
Date: 4/25/2013 At this one-hour webinar, you’ll learn:
• Best-practices for integrating your data into one manageable and results-oriented store
• What different types of data (log files, sensors, video, images) will be needed from your storage and query capabilities
• Approaches to convincing the wider business that data needs to come out of its silos and be unified for maximum use