pnachbaur
pnachbaur on Hacker News
Out of curiosity, how do you weigh the straightforward cost of a service like Algolia vs the full TCO of bringing it in-house?
I tend to think of Time Series data as being several orders of magnitude larger than 23 million data points per week (38 per second) but now I can't seem to find a good definition of Time Series data. Anyone have thoughts on the rough threshold between event data and time series data? I think of arrays of hundreds/thousands of individual sensors that take 10 measurements a second as "different" than user generated data that is time-ordered.
Most boarding schools get compared to Hogwarts, and when you add a focus on 'technological wizardry' ... ¯\_(ツ)_/¯
Posted by
pnachbaur on Wednesday July 09, 2014 @11:23AM
from the ask-hn dept.
I'm part of a lunch book club at Keen IO and we've been talking quite a bit about diversity and what it should mean in our industry. While it was easy for us to find rich material on topics like innovation and design principles, it's been more challenging to find good resources to help us tackle the challenge of recruiting for our growing team. Like many startups, it's easy for us to reach...
We absolutely do not sell any data, and only use it internally to debug issues and optimize the system :)
You could use median instead of filtering out outliers explicitly so your averages don't get skewed.
There is a video under "June 18 | Seattle" on the linked page
Posted by
pnachbaur on Tuesday May 13, 2014 @02:41PM
from the keen.io dept.
I actually hadn't been using Cover, but I'm a big fan of Aviate. I greatly prefer it over the stock/Samsung experience.
Posted by
pnachbaur on Wednesday April 02, 2014 @04:23PM
from the time.com dept.
JSON originated from Javascript alone
We emphasize "event data" which goes beyond blanket monitoring. This is "big data" because what you're tracking could still happen at high volume and velocity. We leave the third V, variety, up to you - ultimately you will know your business best and can create and extend the data model you need. Making a backend code change to add a single event collection could immediately lead to millions of very rich data points!
My colleague wrote an excellent blog post on about the event data approach and I think you might enjoy the read! https://keen.io/blog/53958349217/analytics-for-hackers-how-t...
Is this entirely an open source project, or are there plans to do something like Keen.io?
Sounds like solid advice to companies - what about advice for young engineers?
I can certainly relate to the challenges of working on a big data platform intended to immediately satisfy varied customers...
But mainly I want to say I'm super impressed with the Google Analytics 'storification'. I can imagine the difficulties in bringing that level of quality to myriad data sources, but I'm excited to see you succeed!
The article explicitly says "Characters with the same name can exist on different servers, so the mind-boggling 3.8 million unique names found in the dataset was not expected."
The comments on the source point out the same mechanism that aims to keep the US from killing him could also been seen as incentivizing the US protecting him from people who want everything released right away.
Framework for email marketing campaigns, but with a bunch of features.
http://www.exacttarget.com/products
(My company recently switched from Blue Hornet and ExactTarget gives us much more control)
It sounds like that would fall into the "Updates" category
Posted by
pnachbaur on Friday May 24, 2013 @11:56AM
from the the-scientist.com dept.
Well, except that we don't pay as much attention to every human being.
Feels like a filler post to hop on a trend. Also, I just can't agree that MapReduce was a bad idea in the first place. Especially when the author goes on to laud the ecosystem built on top of MR/HDFS.
This is well done! An internal project I'm working on will soon need to provide documentation like this.
I think you could do something really interesting simply by connecting feed usage data and content data, which (I believe) was zarify's idea of 'Pandora for newsfeeds'.
There are companies along this line[1], but I'd prefer a solution with just rss usage/content data, and not the social streams as well.
[1] Prismatic and Percolate come to mind
It's a SDK for mobile apps (Android/iOS). There doesn't seem to be a page with every product on it, but the product link at the top leads you to explanations like:
http://try.crashlytics.com/reports/