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4 entries#linked ×2011 ×Clear all
2011
"When you're done talking, stop"
theatlantic.com
Choice quotes from Shaun FitzPatrick, Major USMC.
^2
By the way toughest interviews I ever did were on NPR, not because of harsh treatment or anything like that, but because the radio reporter asks you to describe in detail for listeners who can't see what you're talking about. It's tougher than I thought it would be.
^2
and Sales people and buyers:
^2
Clients are uncomfortable with the quiet and want to fill the air. We always said, "Whoever talks first loses" but it isn't quite as simple as that. People will tell you things (if you just shut up!) when given the chance. Silence is the best way to handle it.
Choice quotes from Shaun FitzPatrick, Major USMC.
^2
By the way toughest interviews I ever did were on NPR, not because of harsh treatment or anything like that, but because the radio reporter asks you to describe in detail for listeners who can't see what you're talking about. It's tougher than I thought it would be.
^2
and Sales people and buyers:
^2
Clients are uncomfortable with the quiet and want to fill the air. We always said, "Whoever talks first loses" but it isn't quite as simple as that. People will tell you things (if you just shut up!) when given the chance. Silence is the best way to handle it.
Redis and CouchDB, a perfect match?
ai.mee.nu
Pixy Mesa compares the Laurel and Hardy of NoSQL databases:
^2
CouchDB is strong precisely where Redis is weak (storing large amounts of rarely-changing but heavily indexed data), and Redis is strong precisely where CouchDB is weak (storing moderate amounts of fast-changing data).
^2
On MongoDB:
^2
Now, MongoDB offers a both a document store and high-performance update-in-place, but its persistence model is fling it at the wall and hope that it sticks, with a recovery log tacked on since 1.7. It's not intrinsically robust, you can't perform backups easily, and its write patterns aren't consumer-SSD-friendly.
^2
Choice Quote:
^2
I do not trust MongoDB with my data.
^2
The comparison table is a good quick-ref of features.
^2
Pixy Mesa compares the Laurel and Hardy of NoSQL databases:
^2
CouchDB is strong precisely where Redis is weak (storing large amounts of rarely-changing but heavily indexed data), and Redis is strong precisely where CouchDB is weak (storing moderate amounts of fast-changing data).
^2
On MongoDB:
^2
Now, MongoDB offers a both a document store and high-performance update-in-place, but its persistence model is fling it at the wall and hope that it sticks, with a recovery log tacked on since 1.7. It's not intrinsically robust, you can't perform backups easily, and its write patterns aren't consumer-SSD-friendly.
^2
Choice Quote:
^2
I do not trust MongoDB with my data.
^2
The comparison table is a good quick-ref of features.
^2
d3.js -- Data-Driven Documents
mbostock.github.com
D3.js is a small, free JavaScript library for manipulating documents based on data.
^2
Found this very interesting looking visualistion library via this article -- d3 for mere mortals.
D3.js is a small, free JavaScript library for manipulating documents based on data.
^2
Found this very interesting looking visualistion library via this article -- d3 for mere mortals.