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had00b.blogspot.com

Had00b

A blog about Big Data, Hadoop and the MapReduce framework.

http://had00b.blogspot.com/

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PAGE TITLE
Had00b | had00b.blogspot.com Reviews
<META>
DESCRIPTION
A blog about Big Data, Hadoop and the MapReduce framework.
<META>
KEYWORDS
1 menu
2 hadoop
3 hadoop streaming
4 mapreduce
5 python
6 random subset
7 reservoir sampling
8 sampling
9 10 comments
10 hdfs
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menu,hadoop,hadoop streaming,mapreduce,python,random subset,reservoir sampling,sampling,10 comments,hdfs,linux,mac os x,pseudo distributed,setup,4 comments,distributed file system,matrix transpose,word count,2 comments,mapreduce concepts,shuffle,reduce
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Had00b | had00b.blogspot.com Reviews

https://had00b.blogspot.com

A blog about Big Data, Hadoop and the MapReduce framework.

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1

MapReduce: a gentle introduction with examples | Had00b

http://had00b.blogspot.com/2013/08/mapreduce-gentle-introduction.html

160; Big data made simple. Big data made simple. Thursday, August 1, 2013. MapReduce: a gentle introduction with examples. A brief history of MapReduce and Hadoop. MapReduce is a programming framework for distributed processing originally developed at Google in 2004. The original paper. An open-source web search engine he and his team had started building in 2002. In 2006, Doug Cutting was hired by Yahoo! Other distributed file-systems compatible with MapReduce exist such as Quantcast FS ( QFS. Failures ...

2

August 2013 | Had00b

http://had00b.blogspot.com/2013_08_01_archive.html

160; Big data made simple. Big data made simple. Monday, August 5, 2013. Reservoir Sampling in MapReduce. We consider the problem of picking a random sample of a given size k. From a large dataset of some unknown size n. The hidden assumption here is that n. Is large enough that the whole dataset does not fit into main memory, whereas the desired sample does. Saturday, August 3, 2013. Setup Apache Hadoop on your machine (single-node cluster). Lets get your machine ready for some big data crunching! And H...

3

Setup Apache Hadoop on your machine (single-node cluster) | Had00b

http://had00b.blogspot.com/2013/08/setup-apache-hadoop-on-your-machine.html

160; Big data made simple. Big data made simple. Saturday, August 3, 2013. Setup Apache Hadoop on your machine (single-node cluster). Let's get your machine ready for some big data crunching! Don't get discouraged by the length of this post, the whole procedure literally takes only a few minutes! As mentioned, we will need to install Java SDK and have the environment variable JAVA HOME point to a suitable Java installation. Usually, this variable is set in a shell startup file, such as /.bash pro...In th...

4

Had00b - Introduction | Had00b

http://had00b.blogspot.com/2013/07/had00b-introduction.html

160; Big data made simple. Big data made simple. Sunday, July 21, 2013. Had00b is a Big Data blog for readers ranging from n00bs to advanced. Our tutorials are not only meant to provide the solution for each problem but also a clear explanation of the concepts, challenges, and applications of the relevant topics. You will be learning algorithms and applications from many areas including machine learning, network analysis, graph algorithmics, and text processing. November 18, 2015 at 10:30 PM. A brief his...

5

Reservoir Sampling in MapReduce | Had00b

http://had00b.blogspot.com/2013/07/random-subset-in-mapreduce.html

160; Big data made simple. Big data made simple. Monday, August 5, 2013. Reservoir Sampling in MapReduce. We consider the problem of picking a random sample of a given size k. From a large dataset of some unknown size n. The hidden assumption here is that n. Is large enough that the whole dataset does not fit into main memory, whereas the desired sample does. Let's first review how this problem is tackled in a sequential. Setting - then we'll proceed with a distributed map-reduce solution. Reservoir samp...

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Had00b

Had00b   Big data made simple. Big data made simple. Monday, August 5, 2013. Reservoir Sampling in MapReduce. We consider the problem of picking a random sample of a given size k. From a large dataset of some unknown size n. The hidden assumption here is that n. Is large enough that the whole dataset does not fit into main memory, whereas the desired sample does. Saturday, August 3, 2013. Setup Apache Hadoop on your machine (single-node cluster). Lets get your machine ready for some big data crunching!

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