paulsb

13 ms·

91.
Facebook’s Petabyte Scale Data Warehouse using Hive and Hadoop(infoq.com)
14 points by paulsb 17y ago|11 comments
92.
How Google’s Algorithm Rules the Web(wired.com)
28 points by paulsb 17y ago|1 comments
93.
A Collection Of Redis Use Cases(paperplanes.de)
85 points by paulsb 17y ago|12 comments
94.
Hive at Facebook(royans.net)
1 points by paulsb 17y ago|0 comments
95.
by paulsb 17y ago
Video of the address: http://www.youtube.com/watch?v=UF8uR6Z6KLc
96.
Design Lessons & Advice from Building Large Scale Distributed Systems at Google(perspectives.mvdirona.com)
83 points by paulsb 17y ago|15 comments
97.
Ants vs. worms: New computer security mimics nature(genengnews.com)
1 points by paulsb 17y ago|0 comments
98.
Phoenix Technologies Enables Uber-fast Boot(gottabemobile.com)
1 points by paulsb 17y ago|0 comments
99.
Using parallel processing computing could save thousands by using an Xbox(physorg.com)
1 points by paulsb 17y ago|0 comments
100.
Getting started with AMQP and RabbitMQ(infoq.com)
4 points by paulsb 17y ago|0 comments
101.
Your genome isn't that precious - give it away(newscientist.com)
5 points by paulsb 17y ago|0 comments
102.
Fluidinfo - a database aiming to socialize information(uk.techcrunch.com)
1 points by paulsb 17y ago|0 comments
103.
Wolfram Alpha to open data feeds(guardian.co.uk)
23 points by paulsb 17y ago|1 comments
104.
How Google Serves Data from Multiple Datacenters(highscalability.com)
7 points by paulsb 17y ago|0 comments
105.
10 More Amazon Associate Program Lessons I Learned(problogger.net)
1 points by paulsb 17y ago|0 comments
106.
by paulsb 17y ago
The guardian newspaper has a lot of interesting datasets; plus a blog and flickr group for those interested in using the datasets for data visualisation. http://www.guardian.co.uk/data-store
107.
How do startups make customer service scale into awesomeness?(uk.techcrunch.com)
2 points by paulsb 17y ago|0 comments
108.
Experience Planetary Data with BELLA GAIA(datavisualization.ch)
1 points by paulsb 17y ago|0 comments
109.
Igor - a Google Wave robot to manage your references(blogs.nature.com)
1 points by paulsb 17y ago|0 comments
110.
Latency is Everywhere and it Costs You Sales - How to Crush it(highscalability.com)
28 points by paulsb 17y ago|16 comments
111.
by paulsb 17y ago
Video summary: http://www.youtube.com/watch?v=8phWzXgNFGY So very true, especially the part about skills retention.
112.
OK, so it’s not exactly "grim" up North for tech - But there are some issues(uk.techcrunch.com)
7 points by paulsb 17y ago|2 comments
113.
by paulsb 17y ago
Here is a FriendFeed discussion about it: http://friendfeed.com/science-online/cbbe2531/news-releases-... , which boils down to the answer of 'no'. This is typical of those with the power in science: they are too slow to embrace new techno
114.
by paulsb 17y ago
I would agree with you but recently I have really started to like the TechStars program. Why? Because of the impression given to me from their recent videos about the start-ups and the program that have appeared this time. The videos show h
115.
by paulsb 17y ago
If you want to compare UK universities then have a look at the league tables: http://extras.timesonline.co.uk/tol_gug/gooduniversityguide.... Just type in the subject you're interested in. When I used it, I ordered the list by research qu
116.
by paulsb 17y ago
I think there is a need and place for it. One of the things I am hoping to do with my start-up is to build simple tools to help wet-lab scientists access informatics solutions to analyse and visualise their data, and simple tools for inform
117.
by paulsb 17y ago
Looks like an interesting course. And you couldn't be in a better place for it. My second choice of course was a masters in information science, which looks very similar to the vlis one. I think data science is a very broad subject area tha
118.
by paulsb 17y ago
I have decided to do a masters degree in computational biology (bioinformatics). There are a few masters courses that could lead you to a career in data science, but it depends on your background. Most of the courses I found were specialisa
119.
by paulsb 17y ago
Don't forget the graphic design and HCI parts, and definitely do not underestimate them. I often find that people with a scientific/technical background find it hard to visualise and present data well because of their background - 'I love l
120.
Going Solar: One Year Later(extremetech.com)
1 points by paulsb 17y ago|1 comments

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