jfxberns

6 ms·

1.
by jfxberns 13y ago
It still is a valid pattern. As disks get bigger, the harder it is to move the data and the more efficient it is to move the compute to the data.
2.
by jfxberns 13y ago
"Does anyone have a use case where data is on a single machine and map reduce is still relevant?" No! MapReduce is a programming pattern for massively parallelizing computational tasks. If you are doing it on one machine, you ar
3.
by jfxberns 13y ago
"A lot of people fail to understand the overheads and limitations of this kind of architecture. Or how hard it is to program, especially considering salaries for this skyrocketed. More often than not a couple of large 1TB SSD PCIe and
4.
by jfxberns 15y ago
Two years ago in January 2010, Yangon had their first Barcamp. People were afraid to talk politics. Most of the Internet was firewalled. Aung San Suu Kyi was under house arrest. Two years later, Myanmar is awakening and filled with hope
5.
Nobel Peace Prize Winner, Aung San Suu Kyi at Barcamp Yangon 2012(facebook.com)
7 points by jfxberns 15y ago|1 comments
6.
by jfxberns 15y ago
I don't know; ML has a lot of applications and the bar for most people to be able to implement it is rather high. Lowering the bar so "mere mortals" can have some serious infrastructure and data that's a mere API call away seems pretty hug
7.
by jfxberns 15y ago
I am surprised that O'Reilly's "Learning Python" hasn't received more nods. Granted it's long (1200 pages as I recall), but it takes the reader on the full journey through all of Python's multitude of features in a very structured way, wit