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Tag Archives: megasite

Data Galore, Thousands of Publicly Available Datasets.

1 Jul

I can’t believe it’s been over a year, since I’ve updated this blog.  I’m actually shocked.  Time flies.  I’ve been busy with a number of ventures, many of which I plan to share on this site.

For those wondering (and I’ve received many emails asking), 300K Job Search In-a-Box is still working and being supported.

As my first post since 2011, I thought I’d share this: an absolutely excellent collection of Thousands of Public Data Sources.

As you may recall reading one of my earlier blog articles, using publicly available datasets is one of the easiest way to create a Value-Added Megasite: http://themanwhosoldtheweb.com/blog/2011/04/autoscaling-with-publicly-available-data/.

Here’s a tip. Create a 40,000 page site instantly with a zip code dataset.

9 Jul

Not too long ago, I introduced the idea of creating a megasite using publicly available datasets.  In this article, we’ll discuss how we can use US zip codes to create a 40,000 page megasite instantly.

(You can pick up your copy of the zip codes data set here: http://federalgovernmentzipcodes.us/.)

So, how does it work?  [...]

Use publicly available datasets to create a value-added megasite.

14 Apr

A few days ago, I launched a live case study where I created a 300,000 page site. One curious reader emailed me and referred to it as a “megasite.”  She saw the value in creating these massive sites and was very interested in creating her own megasite.  So, let’s discuss this concept further.

In my recent case study, I was able to create 300,000 page site (upon launch) by leveraging an API.  In this article, we will explore another method of creating a value-added megasite.  We will leverage publicly available datasets, instead.

First thing’s first.  What is a dataset? With some help from Wikipedia, a dataset is defined as a collection of data, usually presented in a table. Each column represents a particular attribute.  Each row corresponds to a given entry of the dataset.   For instance, if we have dataset on cars, the columns can be “model,” “make,” “color,” “year,” and “license.”  Then, an example of a row entry could take on the values “Accord,” “Honda,” “White,” “2009,” “TMWSW23.” [...]


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