Monday, September 24, 2012

My Weekly Reading Highlights: 9/16 /12 to 9/22/12

I'm sure most people are now tired of the iPhone 5 reviews, comparisons, and tear-downs by now.  I know that I am.  Below are the most interesting article reads for me over the last week, excluding iPhone 5 ones.  
Joe Weisenthal provides a great description of the Bloomberg Spead Desk.  Here he describes it as a "a mindblowing operation that spits out real-time news headlines from all over the world, 24/7 to customers who rent their fabled terminals. 

3 Interview Tips for Hiring Outstanding Developers

Everyone who is trying to hire top notch SW developers knows it is extremely time consuming and a difficult task.  Chad Lilly lays out three interesting approaches in weeding out the best developers from the crowd of okay developers.  
At work we are all over mining data from twitter and other social media sources.  The Twitter firehose is a valuable source of information.  Now for the sports fans out there this is a perfect new source.  Ryan Kim describes the SportsCenter Feed as having over 1000 updates from ESPN per day.
During my work week I'm working with quite a few remote workers.  I see this trend increasing over time.  One of the challenges is how to virtually integrate these valuable contributors into the daily meeting, huddles, and discussions that occur throughout the day.  Vivian Giang and Max Nisen lay out three barriers we are working to address to success utilize remote workers today.
Anyone living in a large city knows the general hassles of movement from one point to another is a pain undertaking.  Jamillah provides an overview of the Digital Life Design conference in London where people are discussing improvements to what we refer to as "city habitats" through the use of data analysis or smart city initiatives.  
Derrick Harris provides a run down on the IE Group's Big Data Innovation event.  He provides five thoughts from the conference that resonates not only with him but me as well.
No weekend reading is complete without a good article on Data Science.  Clearly a hot field these days in the big data analytics area.  Derrick Harris reviews an approach on Overkill Analytics.

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