jaffee

20 ms·

61.
Self Deploying Applications Without Kubernetes(pilosa.com)
3 points by jaffee 9y ago|0 comments
62.
by jaffee 9y ago
1. It is written in Go, and open source! https://github.com/pilosa/pilosa 2. It's going to depend on your use case, but generally you will be streaming writes into your current data store as well as Pilosa. Then r
63.
Pilosa Performance – Billion Taxi Ride Dataset(pilosa.com)
16 points by jaffee 9y ago|2 comments
64.
by jaffee 9y ago
The use case for Pilosa is usually as an addition to something like Cassandra or HDFS where you have terabytes (or more) of data that you want to be able to query more flexibly - especially if there are a very large number of attributes tha
65.
by jaffee 9y ago
I'll add to travisturner's response - Pilosa has a few bells and whistles beyond being a straight up bitmap index including: - associating each bit with a timestamp (at various granularities) and queries over time ranges. - adding
66.
by jaffee 9y ago
User segmentation was actually the original use case that prompted Pilosa's development! Segmenting hundreds of millions of users with tens of millions of potential attributes.
67.
by jaffee 9y ago
Good call - wikipedia has a nice overview: https://en.wikipedia.org/wiki/Bitmap_index The key addition with Pilosa is that it's distributed and can scale horizontally :)
68.
Pilosa: open source, distributed bitmap index in Go(github.com)
183 points by jaffee 9y ago|22 comments
69.
by jaffee 9y ago
On github, it'd be called a "pull request".
70.
by jaffee 11y ago
I want to know what exploded - I wouldn't have expected it to have very much leftover fuel at that point...
71.
by jaffee 13y ago
If you're a complete beginner in data parallel programming, and you're having trouble finding good intro material for OpenCL, it might almost be worthwhile to check out CUDA instead. In terms of the programming model, OpenCL and C