Author Archives: Josh Patterson

Simple Moving Average, Secondary Sort, and MapReduce (Part 3)

Categories: General Hadoop

This is the final piece to a three part blog series. If you would like to view the previous parts to this series please use the following link:

Part 1 – A Simple Moving Average in Excel

Part 2 – A Simple Moving Average in R

Previously I explained how to use Excel and R as the analysis tools to calculate the Simple Moving Average of a small set of stock closing prices.

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Simple Moving Average, Secondary Sort, and MapReduce (Part 2)

Categories: General Hadoop MapReduce

This is the second post of a three part blog series. If you would like to read “Part 1,” please follow this link. In this post we will be reviewing a simple moving average in contexts that should be familiar to the analyst not well versed in Hadoop as to establish a common ground with the reader from which we can move forward.

A Quick Primer on Simple Moving Average in Excel

Let’s take a second to do a quick review of how we define simple moving average in an Excel spreadsheet.

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Simple Moving Average, Secondary Sort, and MapReduce (Part 1)

Categories: General Hadoop MapReduce

Intro

In this three part blog series I want to take a look at how we would do a Simple Moving Average with MapReduce and Apache Hadoop. This series is meant to show how to translate a common Excel or R function into MapReduce java code with accompanying working code and data to play with. Most analysts can take a few months of stock data and produce an excel spreadsheet that shows a moving average,

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