arnon

40 ms·

451.
by arnon 9y ago
Incidentally, yes.
452.
by arnon 9y ago
You hit the nail on the head. We also employ QuickCheck rather extensively, which makes testing millions of scenarios really straightforward.
453.
by arnon 9y ago
This rundown on Shazam's blog is much more in-depth and less 'marketingy': https://blog.shazam.com/moving-gpus-to-google-cloud-36edb498...
454.
by arnon 9y ago
I'd like to see a more recent evaluation of this.
455.
by arnon 9y ago
Very interesting! Do you do any sort of typechecking in this? FWIW, HsSqlPpp also supports various dialects. In SQream DB we use a custom dialect, while HsSqlPpp is mostly Postgres.
456.
by arnon 9y ago
I think it's unlikely at this point... We too are currently during some large projects for enterprises... We will be releasing a community version on AWS and Azure in the near future which should be cheap or free, other than the instan
457.
by arnon 9y ago
I work for www.sqream.com, and our main product is SQream DB. SQream DB is a GPU SQL database for analytics. Everything was written in-house - from the SQL parser all the way down to the storage layer. We're designed to deal with sizes
458.
by arnon 9y ago
GHC isn't magical. It has bugs too. We had an issue with the Data.Text package and OverloadedStrings in 7.10.2 which caused extremely slow compilation times and filed a bug report for that, which was solved for 7.10.3.
459.
by arnon 9y ago
Haskell works really well for things revolving around languages. At SQream (www.sqream.com), Haskell is used for CLI, SQL parser, SQL language compiler, SQL optimizations and a variety of tools. We also use Haskell to generate Python code f
460.
by arnon 9y ago
We have a code base of roughly 200,000 lines of Haskell code, dealing with high performance SQL query parsing, compilation and optimizations. I only remember one situation over the past 5 years that we had a performance issue with Haskell,
461.
by arnon 9y ago
Isn't this just a souped up femtocell?
462.
by arnon 9y ago
Isn't all computing just basically artificial intelligence?
463.
by arnon 9y ago
Which means the iPhone 7 wasn't enticing enough to lure people to buy it
464.
by arnon 9y ago
When we approach a customer with our database, SQL compliance is super important to them. Some of our competitors used to be 'SQL-like', and even they swapped to using full SQL. I think the fact that SQL is based on solid mathemat
465.
by arnon 9y ago
At 4 WTC, the official rule when fire breaks out is "Use the elevator". I've never heard of that before. New elevator technology is amazing and they're extremely reliable. Perhaps the safest mode of transport, even befor
466.
by arnon 9y ago
GPUs aren't good for everything. The right thing to do is balance between CPU and GPU code, and only do what actually gives any benefit. For example, GPUs suck at working on texts, or when there is a lot of divergence between processes
467.
by arnon 9y ago
It's an in-memory database. "Huge dataset" is questionable in this scenario as it has to fit in RAM.
468.
by arnon 9y ago
Where was this a decade ago when I needed it?
469.
by arnon 9y ago
We were discussing esoteric databases yesterday in the office, and this came up. The only thing on my mind was: Your scientists were so preoccupied with whether or not they could, they didn’t stop to think if they should. Disclaimer: We are
470.
by arnon 9y ago
P100 probably?
471.
by arnon 9y ago
I fail to see how anyone would even think that it's possible to bring back coal.
472.
by arnon 9y ago
I have a feeling cellphones, smartwatches and other radiating devices will come back and bite us in the not too distant future
473.
by arnon 9y ago
I had a project I did for university a few years back, and we'd identify the browser or application just by looking at the timing information between packets (without looking at ports, source/destination, etc.). We could identify
474.
by arnon 9y ago
A little bit in-depth for my mother, but pretty good rundown of common mistakes she'll make in any case
475.
by arnon 9y ago
1.1B records = 500GB of raw CSV data. This fits into RAM quite easily on a machine like the P2.8xlarge, especially when compression is used (like MapD uses). I'd like to see how well this performs on a dataset that doesn't fit in
476.
by arnon 9y ago
Meh. Sponsored article with very little news
477.
by arnon 10y ago
OLAP is implied as a catch-all for analytics in this case
478.
Ask HN: Organizing shared drive between colleagues?
1 points by arnon 10y ago|0 comments
479.
by arnon 10y ago
SQream Technologies | Big-Data Solution Architect | New York | Full time | ONSITE www.sqream.com The Big-Data Solution Architect is responsible for understanding emerging and evolving customers’ Big-Data Analytics models and requirements, a
480.
Data Science Job Interview(linkedin.com)
3 points by arnon 10y ago|0 comments

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