/* This code snippet is a part of the blog at | |
https://github.com/animeshtrivedi/blog/blob/master/post/2017-12-26-arrow.md | |
*/ | |
import com.google.common.collect.ImmutableList; | |
import org.apache.arrow.memory.RootAllocator; | |
import org.apache.arrow.vector.*; | |
import org.apache.arrow.vector.dictionary.DictionaryProvider; | |
import org.apache.arrow.vector.types.FloatingPointPrecision; | |
import org.apache.arrow.vector.types.pojo.ArrowType; |
UPDATE: this is out of date and although it worked for me at the time, there is a better solution to make it work: https://github.com/evilphish/sennheiser-gsx-1000
In order to make the Sennheiser amplifier GSX 1000/1200 work on Linux as a 7.1 device it is needed to change a configuration file of pulseaudio. Execute this command to identify the output sound cards:
aplay -l
This is a sample output
- Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
- Models and Issues in Data Stream Systems
- Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
- Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
- [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t
A friend asked me for a few pointers to interesting, mostly recent papers on data warehousing and "big data" database systems, with an eye towards real-world deployments. I figured I'd share the list. It's biased and rather incomplete but maybe of interest to someone. While many are obvious choices (I've omitted several, like MapReduce), I think there are a few underappreciated gems.
###Dataflow Engines:
Dryad--general-purpose distributed parallel dataflow engine
http://research.microsoft.com/en-us/projects/dryad/eurosys07.pdf
Spark--in memory dataflow
http://www.cs.berkeley.edu/~matei/papers/2012/nsdi_spark.pdf
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