Links: 5-19-2015

What I did this weekend: 05/10/2015

Time flies, has been almost four months since my last weekend post. Mother’s Day weekend so…

  • Saturday: Better half said she wanted a stove for Mother’s Day, I had bookmarked some stuff by BlueStar Cooking months ago because it looked cool, there’s a local distributor here in town that we visited on Saturday after the oldest’s soccer game. Great warehouse / storefront but nothing seemed to fit us. Lunch at Guero to go and a table inside at Jive on the 5th floor on a beautiful sunny day in Portland certainly fit us though. Came home and got the boneless lamb roast (purchased from Ponderosa Provisioners in Beaverton, highly recommended) started and then dug rocks out of the parkway strip (apparently that’s what it’s called?) for a couple hours (decorated with river rocks, has slowly filled with dirt and leaves over the past years and looks like a pile of dirt instead of something nicely maintained).
  • Sunday: Mom got to sleep in, I made breakfast, she wanted “super greens” and a fried egg, tried these directions on for size, worked out pretty well. Got the lamb in the oven at 1pm, finished work on the rocks with Grandpa, got the potatoes in the oven while the lamb was resting, put together a really great salad with this dressing (doubled the recipe for the four of us and we had a bunch left over), sourdough bread procured, sliced and toasted and had dinner outside. Lamb was fantastic, we had two five pound legs while the recipe called for one 10-12 pound leg so I probably should have cooked it less (was at 141 degrees after 3 hours, should have been at 130 to 135) but the 500 degree toast at the end to crisp up the skin was a nice touch.

Links: 4-27-2015

  • Everything We Wish We’d Known About Building Data Products – First Round Review
    Quote: "Where to Start Building: A lot of people choose to start building by modeling the product in question. Some start with feature discovery or feature engineering. Others start with building the infrastructure to serve results at scale. But for Belkin, there’s only one right answer and starting point for a data product: Understanding how will you evaluate performance and building evaluation tools. “Every single company I’ve worked at and talked to has the same problem without a single exception so far — poor data quality, especially tracking data,” he says.“Either there’s incomplete data, missing tracking data, duplicative tracking data.” To solve this problem, you must invest a ton of time and energy monitoring data quality. You need to monitor and alert as carefully as you monitor site SLAs. You need to treat data quality bugs as more than a first priority. Don’t be afraid to fail a deploy if you detect data quality issues."
    (categories: data quality testing bigdata linkedin twitter information )

Links: 4-22-2015

  • Meet DJ Patil: Obama’s Big Data dude
    Quote: "In each new feature, Patil drove home the idea that the best sign of a good data product is no obvious evidence of the data itself. “The user doesn’t want to see raw data, they want the data in a usable form, and that usable form should help them do something more creative, be more efficient, give them superpowers,” he said. “Something you could never conceive of before.”" What a great story too.
    (categories: data visualization value problem-solving grit government )

  • A Conversation with Werner Vogels – ACM Queue
    On services before microservices were a thing. Also note that this was written in 2006(!) and that Jim Gray (since lost at sea) did the interview: "The traditional model is that you take your software to the wall that separates development and operations, and throw it over and then forget about it. Not at Amazon. You build it, you run it. This brings developers into contact with the day-to-day operation of their software. It also brings them into day-to-day contact with the customer. This customer feedback loop is essential for improving the quality of the service."
    (categories: amazon soa microservices wernervogels )

Links: 4-14-2015

Links: 4-8-2015

Links: 4-7-2015

Now with 50% less caffeine!