The Best of the Week (Jan. 31): Big Data Zone
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Make sure you didn't miss anything with this list of the Best of the Week in the Big Data Zone (Jan. 31 to Feb. 6). Here they are, in order of popularity:
This article is the result of researching over 10,000 Stack Overflow questions. It summarizes how you need to phrase and write your question in order to get better and faster answers.
In Hive’s implementation of partitioning, data within a table is split across multiple partitions. Each partition corresponds to a particular value(s) of partition column(s) and is stored as a sub-directory within the table’s directory on HDFS. Today we are going to see how we can load a CSV file to a partitioned table.
As it turns out, doing work on big data sets is quite hard. To start with, you need to get the data, and it is… well, big. So that takes a while. Instead, the author decided to test my theory on the following scenario. Given 4 GB of random numbers, let us find how many times we have the number 1.
In this article, you'll find step-by-step instructions on how to install Apache Pig, a data analysis platform, and Apache Hive, a data warehouse built on top of Hadoop, on Linux Mint VM
There is no shortage of time series data available on the web for use in student projects, or self-learning, or to test out new forecasting algorithms. It is now relatively easy to access these data sets directly in R. In this article, you'll find a variety of resources for time series data in R.
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