John Lamping
Principal ScientistXerox PARC
John Lamping has had difficulty focusing his career. He worked on network drivers before getting a PhD in computer science from Stanford University.
He was a principal scientist at Xerox PARC, where he worked in various fields, including Aspect Oriented Programming, visualization, optimal lambda calculus evaluation, and natural language semantics.
He was a senior staff engineer at Google, where he worked on the core ranking function, notably leading the project that automatically learns synonyms from search logs. It probably helped get the results for the last query you did on Google.
Talks I've Given
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The One Weird Trick for Analyzing Big Data … Eyeball it Early and Often!
Featuring John Lamping
As programmers, we tend to treat data as generic stuff to feed into the algorithms and architectures we love. We don’t really pay attention to the data itself, especially when we have terabytes or petabytes of it.
Huge mistake. And we are trained to make it! It is why it takes a year for a...
big-data -
The One Weird Trick for Analyzing Big Data … Eyeball it Early and Often!
Featuring John Lamping
As programmers, we tend to treat data as generic stuff to feed into the algorithms and architectures we love. We don’t really pay attention to the data itself, especially when we have terabytes or petabytes of it.
Huge mistake. And we are trained to make it! It is why it takes a year for a...
big-data -
The One Weird Trick for Analyzing Big Data … Eyeball it Early and Often!
Featuring John Lamping
As programmers, we tend to treat data as generic stuff to feed into the algorithms and architectures we love. We don’t really pay attention to the data itself, especially when we have terabytes or petabytes of it.
Huge mistake. And we are trained to make it! It is why it takes a year for a...
big-data