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Big Data/Analytics
Big Data/Analytics Zone
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Ravi Namboori11/14/14350 views
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Ravi Namboori : Tapping Big Data To Your Own Advantage
This is SAS's view on big data. The article discusses how big data can be used to take better decisions, cut costs, and gain advantages.
Arthur Charpentier11/13/141295 views
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Extracting Datasets from Excel Files in a Zipped Folder
The title of the post is a bit long, but that’s the problem I was facing this morning: importing datasets from files, online. I mean, it was not a “problem”, more a challenge (I should be able to do it in R, directly)
Jonathan Callahan11/12/141158 views
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Using R: R Class for Wildfire Scientists
Mazama Science has just finished creating class materials on using R for the AirFire team at the USFS Pacific Wildland Fire Sciences Lab in Seattle, Washington. Autodidacts new to R should take about 20-30 hrs to complete the course.
Benjamin Ball11/10/14725 views
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The Best of the Week (Oct 31): Big Data Zone
Make sure you didn't miss anything with this list of the Best of the Week in the Big Data Zone (October 31 - November 07). This week's topics include getting started with Hadoop and MapReduce, data structural integrity, Big Data goals, prediction intervals, JSF versus JSP with CRUD applications.
Ajitesh Kumar11/09/146101 views
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Learn R: Hello World with R
This article represents some of the basic concepts you need to understand in order to write a Hello world using the R programming language.
Linda Gimmeson11/08/14589 views
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Big Data is Changing the Real Estate Landscape
Big data has a large role to play in the real estate industry.
John Cook11/07/144108 views
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How well does sample range estimate range?
I’ve been doing some work with Focused Objective lately, and today the following question came up in our discussion. If you’re sampling from a uniform distribution, how many samples do you need before your sample range has an even chance of covering 90% of the population range?
Ana-maria Mihalceanu11/06/141802 views
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JSF Versus JSP, Which One Fits Your CRUD Application Needs? (Part 1)
We make decisions every day; everything we say and do is the result of a decision, whether we make it consciously or not. No matter how big or small is the choice, there's no (easy) formula for making the right decision.
Mike Bushong11/05/141103 views
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Network Engineers, Pay Attention to Big Data
Don’t be afraid of these new applications. They are coming whether you like it or not. Embrace them, understand them as best you can. Then sit back and think about what the network can do for them. You have an ability to significantly impact their ability to perform.
David Mai11/05/141115 views
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Salesforce Enters BI & Analytics Market. Will They Create a Wave or Just a Ripple?
Salesforce the world’s largest enterprise cloud computing company has recently unveiled “Wave”, their new enterprise business intelligence solution.
Pavithra Gunasekara11/04/145239 views
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Getting Started with Hadoop MapReduce
Hadoop MapReduce framework provides a way to process large data, in parallel, on large clusters of commodity hardware. An edit to an earlier version.
Mike Bushong11/04/142789 views
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Making the World a Better Place with Big Data
While there is certainly much feel-good hyperbole about the “making the world a better place” nature of big data, that is more than offset with actual real-world details of how data is being used to solve more day-to-day business problems.
Edmund Kirwan11/03/141981 views
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The Blighttown Corollary
Can an image capture an entire system's structural integrity? Can we tell from a graphic whether a system is well-structured? The Blighttown corollary highlights the importance of a good package structure, as this structure will probably constrain the quality of the entire system's structure.
Rob J Hyndman11/03/141818 views
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Prediction intervals too narrow
Almost all prediction intervals from time series models are too narrow. This is a well-known phenomenon and arises because they do not account for all sources of uncertainty. When we produce prediction intervals for time series models, we generally only take into account the first of these sources of uncertainty.
Benjamin Ball11/01/143626 views
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The Best of the Week (Oct 24): Big Data Zone
Make sure you didn't miss anything with this list of the Best of the Week in the Big Data Zone (October 24 - October 31). This week's topics include Twitter data analysis, running Hadoop on Ubuntu, information retrieval with Apache Lucene, a method for data visualization, and removing references with R.
Mark Needham10/29/143067 views
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Python: Converting a date string to timestamp
I’ve been playing around with Python over the last few days while cleaning up a data set and one thing I wanted to do was translate date strings into a timestamp.
Rob J Hyndman10/28/143162 views
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HTS with Regressors
The hts package for R allows for forecasting hierarchical and grouped time series data. The idea is to generate forecasts for all series at all levels of aggregation without imposing the aggregation constraints, and then to reconcile the forecasts so they satisfy the aggregation constraints.
Pavithra Gunasekara10/27/143952 views
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Getting Hadoop Up and Running on Ubuntu
In this post my aim is to get Hadoop up and running on a Ubuntu host using Local (Standalone) Mode and on Pseudo-Distributed Mode.