neilc

64 ms·

631.
by neilc 18y ago
Sun employes one member of the core team (Peter Eisentraut) and some other people who contribute patches, but that's it. http://www.postgresql.org/community/contributors/
632.
by neilc 18y ago
$30/hr? I think you're wildly overstating what typical interns make. Well, I'm only speaking from my own experience. I wasn't talking about "typical interns", because the original article specifically said they were looking for "amazing h
633.
by neilc 18y ago
Plenty of CS people take internships that pay minimum wage, or nothing at all. Perhaps, but "amazing hackers" with "great references" who are taking CS "likely at a very good school" aren't going to be considering internships that pay min
634.
by neilc 18y ago
if your data isn't relational to start with (e.g. messages in a message queue, being written to files in HDFS), you're better of with Map/Reduce If you query the data once and then throw it away, then certainly load performance is a criti
635.
by neilc 18y ago
Hadoop is built for high throughput not low latency. That said, the parallel DBs still beat Hadoop at throughput for almost all of the queries, just not the data loading.
636.
by neilc 18y ago
How is this supposed to make me think that Turing was wrong? Akl would certainly not claim that "Turing was wrong" -- the submitted title is obvious flamebait. He's just produced an artificial restriction on the computer being incapable
637.
by neilc 18y ago
I've never heard of Greenplum and Teradata. They are parallel databases, which is what the article is comparing MapReduce against. The basic idea is that you partition the data over a set of machines, and similarly divide and parallelize
638.
"I'm not a pirate, I'm the saviour of the sea"(timesonline.co.uk)
4 points by neilc 18y ago|0 comments
639.
by neilc 18y ago
"Never" is a very strong word. "Subjective" experiences ultimately manifest as a series of electrical / chemical state changes in the brain; both the brain and those state changes are well within the realm of scientific understanding, so it
640.
by neilc 18y ago
How is the comparison not meaningful? MapReduce and parallel SQL implementations (e.g. Greenplum, Teradata) are competitors , and are typically used for precisely the same task (large-scale data analysis). They obviously differ in some way
641.
by neilc 18y ago
MapReduce and parallel SQL implementations are perfectly comparable, as the paper itself makes clear: both are for doing large-scale data analysis. You can use RDBMSs for other things, but it is perfectly feasible to compare shared nothing
642.
by neilc 18y ago
I’ve heard Google itself uses SQL, MapReduce and/or sharding depending on the task. Wow, that's a lot of cluelessness in a single sentence.
643.
by neilc 18y ago
It probably won't take too long for someone to implement an open source version of Greenplum using Postgres. And there are a lot of people who are willing to pay for high-performance analysis of large data sets (as the success of Teradata,
644.
A Comparison of Approaches to Large-Scale Data Analysis: MapReduce vs. DBMS benchmarks(database.cs.brown.edu)
11 points by neilc 18y ago|3 comments
645.
by neilc 18y ago
Yeah, that was exactly my reaction as well. Surely, there must be something more to it than that ... right?
646.
by neilc 18y ago
In my opinion, by the time you are paying money managers far, far in excess of what any academic could ever hope to earn, you have crossed that line. Yeah, there is certainly a legitimate question about whether the high rates of compensat
647.
by neilc 18y ago
I would presume that the donors over the years to the Harvard Endowment might have had some expectation that their donations would be put to use futhering the university's academic aims Naturally -- what else do you think the endowment is
648.
by neilc 18y ago
That's not an educational endowment, that's a hedge fund Would you prefer if Harvard invested their endowment in a collection of outside hedge funds, the managers of which might easily be making $35m/yr? It's just a question of outsourcin
649.
by neilc 18y ago
What goal do you think the endowment folks should have followed, if not trying to make the most money (at an acceptable level of risk)?
650.
by neilc 18y ago
if lookups are essentially free, this has the potential to heavily cut down on the amount of data you need to store Assuming that the size of unique_library_size # is smaller than library_size. That's unlikely to be true for this example,
651.
by neilc 18y ago
So you're saying importing more people like those that worked in Bear Sterns would have been in the national interest? Absolutely. The recent turmoil notwithstanding, people "like those that worked in Bear Sterns" are enormously valuable
652.
by neilc 18y ago
Well, obviously the price of SSDs will change in the future, but the question is whether they are a good idea for server workloads now , not in 2 or 3 years.
653.
Where SSDs Don't Make Sense in Server Applications(perspectives.mvdirona.com)
21 points by neilc 18y ago|10 comments
654.
by neilc 18y ago
Column-oriented dbs are essentially a "heroic engineering" way to optimize a datastore for a particular workload -- continuous-read-heavy-batch-processing -- by engineering around the performance peculiarities of traditional hard drives.
655.
by neilc 18y ago
A bar on a corporate campus is rather different from a bar on a college campus. My university (albeit in Canada) had 3 different bars on campus, but I can understand Microsoft's reasoning, although I disagree with it.
656.
by neilc 18y ago
when you're an outlier because you spend an inordinate amount of time among people creating new technology, then your anomalous experience makes you better at predicting the future, not worse. Sometimes, but not always. If you spent all y
657.
by neilc 18y ago
What you seem to fail to see is that you're an outlier. When PG says stuff like "I'm now surprised when I come across a computer running Windows", I think he's more of an outlier than the parent poster. Gmail can search my mail much fast
658.
by neilc 18y ago
They don't understand why "expressive, readable, writable" code is a good thing? I doubt that very much. I think their definition of those terms just differs from yours.
659.
Apache ZooKeeper: The Making Of(developer.yahoo.net)
2 points by neilc 18y ago|0 comments
660.
by neilc 18y ago
Complex business logic constraints depend on "the object model and polymorphism"? Can you give an example?

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