Your views on full-stack development could be featured at OSCON. Here’s how.
We’re putting together a series of short videos that explores the trend of full-stack development from the point of view of people who consider themselves to be full-stack developers—as well as those who’d like to be.
This means your insightful perspective on full-stack development could be seen by new developers and industry experts alike.
Want to participate? Here’s what you need to do:
Submissions are due by the end of the day on Monday, July 14. Read more…
Solving problems with data necessitates a diversity of thought.
There’s a lot of hype around “Big Data” these days. Don’t believe us? None other than the venerable Harvard Business Review named “data scientist” the “Sexiest Job of the 21st Century” only 13 years into it. Seriously. Some of these accolades are deserved. It’s decidedly cheaper to store data now than it is to analyze it, which is considerably different than 10 or 20 years ago. Other aspects, however, are less deserved.
In isolation, big data and data scientists don’t hold some magic formula that’s going to save the world, radically transform businesses, or eliminate poverty. The act of solving problems is decidedly different than amassing a data set the size of200 trillion Moby Dicks or setting a team of nerds loose on the data. Problem solving not only requires a high-level conceptual understanding of the challenge, but also a deep understanding of the nuances of a challenge, how those nuances affect businesses, governments, and societies, and—don’t forget—the creativity to address these challenges.
In our experience, solving problems with data necessitates a diversity of thought and an approach that balances number crunching with thoughtful design to solve targeted problems. Ironically, we don’t believe this means that it’s important to have an army of PhDs with deep knowledge on every topic under the sun.
Rather, we find it’s important to have multi-disciplinary teams of curious, thoughtful, and motivated learners with a broad range of interests who aren’t afraid to immerse themselves in a totally ambiguous topic. With this common vision, IDEO and Datascope Analytics decided to embark on an experiment and integrate our teams to collaborate on a few big data projects over the last year. We thought we’d share a few things here we’ve learned along the way.
Slow performance plagues a major newspaper's website. Old operations advice holds true.
Highlights from the 1/19/12 edition of the Strata newsletter include: Slow download times prevent a major media organization from innovating, and Velocity co-chair John Allspaw unearths some pearls of wisdom from his archive.