genericpseudo

Sadly, regrettably, insufficient. You've just, finally, made good on the original terms; you haven't dealt with the insults thrown at Maciej's character. I would hope that you would have realized that was necessary too.

> If any of you have suggestions for how to do better, I'd like to hear them.

Y Combinator needs an impartial, independent ombudsman dedicated to tackling implicit and explicit bias both within the YC application process and, especially, on Hacker News itself.

The central tension alluded to here is "database people" vs "big data people". Which is a real dichotomy – as a "big data person" I've got a lot of leverage out of going "c'mon, we don't need Hadoop, we just need a relational database here, let's use Postgres", which is an option which gets culturally dismissed rather than on technical grounds. Me, I'm happy that I get to do less work and look clever while I'm doing it, but...

Marketing and cultural positioning matter. That really isn't news. But when people have identity invested in denying that, on both sides, it's difficult to overcome.

Best programme of the last ten years, I reckon. About the most honest, too.

Ice, Ice Baby

My thing was crystallography. We do have the odd characteristic habit.

Cummingtonite.

(There is a long tradition, among earth scientists, of geological dirty puns.)

Would be a stomp for the computer; they don't have to respect G-forces.

At work we use it for log aggregation (specifically application-health telemetry from a mobile application). Very useful in debugging.

The ELK stack is really fancy next generation "tail -f | grep" in a web browser. Which is awesome and really important, but a very different problem from "tell me how many users have used my app for three or more days in a sliding thirty day window".

The low-price contender is Periscope (periscopedata.com).

You don't understand how not evil they are until you've had to try and do it yourself. Sales is really, really, really hard.

Google are a company whose core organizing principle is using statistical methods over obscene amounts of data. Apple is a company whose core organizing principle is selling desirable consumer products with class-leading design through the single most impressive physical supply chain in the world.

OP has a point.

The problem with journalism is everyone wants it but hardly anyone will pay for it unless it directly helps them in some way.

So Bloomberg and the FT (trade press) have a business model, the BBC has the license fee so doesn't need a business model, and everyone else will go bankrupt slowly – note that none of the other para-news apps which were fashionable a while ago (Circa, Feedly, Google Reader, etc...) have come anywhere close to being financially valuable.

http://jauntvr.com/ http://vrse.com/ http://nextvr.com/ https://www.felixandpaul.com

and several others.

IPython notebook with all the workings here:

https://github.com/BuzzFeedNews/2016-01-tennis-betting-analy...

Bravo, BuzzFeed.

British English word for "boss", traditionally in blue-collar jobs (building sites, factories, that kind of thing) but used informally everywhere.

I disagree, sort of, a little bit.

If I'm writing a shell pipeline for data analysis, I rewrite it as a Makefile. Make is a great tool for this sort of thing.

(Use whatever works as long as it's a single command to reproducibly rerun an analysis.)

It means the business has positive free cash flow; it takes in more money than it spends in a year (i.e. it's not going bankrupt), but the paper value of assets it owns (largely intangible goodwill from acquisitions) is written down, meaning that they take a loss.

This is generally a win, if you're expanding, because it means you pay no tax on your free cash.

There was already a service where you could mail AWS removable hard disks and have them load it into S3 for you.

https://aws.amazon.com/blogs/aws/send-us-that-data/

So let's say, hypothetically, you run an online store and you want to do some analytics over a proportion of your customer base.

The Amazon solution here, with the stuff they've launched today is;

a) use Kinesis Firehose to take a stream of log events from your app and dump those into S3 (gives you decent-reliability replicated backups)

b) ETL those using COPY into Amazon Redshift (a column store; very fast full-table scans)

c) point QuickShot at Redshift to draw graphs

so, yeah – but most of the data you want likely doesn't fit in Excel (or rather most of the work is reducing the data in size until it could).

FanDuel is a Scottish company.