yorp

6 ms·

1.
Untangling Data Science from Engineering(blog.scleradb.com)
5 points by yorp 12y ago|0 comments
2.
Building Usable Analytics Platforms: Untangling the Mess(medium.com)
2 points by yorp 12y ago|0 comments
3.
The Rise and Fall of Industrial Research Labs(cacm.acm.org)
71 points by yorp 12y ago|24 comments
4.
by yorp 12y ago
We are building Sclera, an extensible SQL engine that enables you to push your analytics operations into a SQL query. The idea is to tame the code complexity through a declarative interface to analytics libraries. You can add your own libra
5.
by yorp 12y ago
Why not use (virtual) views? http://en.wikipedia.org/wiki/View_(SQL)
6.
Fifty Years of Databases (2012)(wp.sigmod.org)
45 points by yorp 12y ago|11 comments
7.
The Beckman Database Research Self-Assessment Meeting(beckman.cs.wisc.edu)
1 points by yorp 12y ago|0 comments
8.
Show HN: The SQL Interface to Analytics(scleradb.com)
2 points by yorp 13y ago|0 comments
9.
by yorp 13y ago
Done that -- the best career decision I ever made. Left for a startup after several years in a corporate research lab. Think of this transition as going back to school (because that is exactly what it is!). If anything, this will increase y
10.
by yorp 13y ago
OP talks about performance optimization, not about "infrastructure work" in general. The issue with performance optimization is that fast enough systems are ok -- nobody needs the fastest system possible. So its not much of an opt
11.
by yorp 13y ago
Leads to a login page. Can you link to a description?