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data visualization: All content tagged as data visualization in NoSQL databases and polyglot persistence

Data and visualization year in review 2013

If you are in for some cool data visualizations, check the FlowingData’s year in review post:

There were several themes throughout the year, but the most important was the strengthened connection between data and reality.

After staring at these for a while, I’ve realized there’s a theme of themes: the majority of the visualizations cited in the post combine the cold abstract numbers with representations that we are extremely familiar with.

✚ This reminded me of the story HighScalability posted in memory of Grace Hoper:

Computing pioneer Grace Hopper, inventor of the compiler, searched for a concrete way to create an intuitive understanding of just how fast is a nanosecond, a billionth of a second, which was the speed of their new computer circuits. As an illustration she settled on the length of wire that is as long as light can travel in one nanosecond. The length is a very portable 11.8 inches. A microseconds worth of wire is a still portable, but a much bulkier 984 feet. In one millisecond light travels 186 miles, which only Hercules could carry. In today’s terms, at a 3.06 GHz clock speed, there’s .33 nanoseconds between ticks, or 3.73 inches of light travel.


Pizza chains by FlowingData .

Original title and link: Data and visualization year in review 2013 (NoSQL database©myNoSQL)

Lessons in Data Visualization: How to create a visualization

Pete Warden:

Pick a question. Now that I had a rough idea for what I wanted to visualize, I really needed to focus on what I would be doing. The best way to do that is to chose the exact title you want to give your visualization.

Oftentimes, you might be tempted to start with an answer in the form of a hypothesis or preconception. The results will get might be valid but radically different.

As for the technologies used for data crunching, it’s Pig on Hadoop over a Cassandra cluster:

In my case, we have a Cassandra cluster with information on more than 350 million photos shared on Facebook. I’ve been running Pig analytics jobs regularly to get a view of what we have in there. […] In this case I already had some Pig scripts asking similar questions, so I was able to adapt one of those. The biggest surprise was when I ran into issues with some of the joins. The hard part was running the Hadoop job to gather the raw data from our Cassandra cluster, and that worked. I was able to output smaller files containing the gathered data, and then run a local Pig job to do the joins I needed.

Original title and link: Lessons in Data Visualization: How to create a visualization (NoSQL database©myNoSQL)


Sones GraphDB Adds Data Visualization

An interesting addition for the upcoming sones GraphDB 2.1:

With the abil–ity to run queries and use plug-ins to deter–mine how the out–put will look like the Web–Shell is a per–fect place to enhance user expe–ri–ence. Since there are sev–eral out–put plug-ins avail–able with ver–sion 2.0 already (JSON, XML, Text, HTML,…) we thought it would be a great idea to have a sim–ple visu–al–iza–tion imple–mented just by adding a new out–put plug-in to GraphDB.

sones GraphDB data visualization

Original title and link: Sones GraphDB Adds Data Visualization (NoSQL database©myNoSQL)


The Beauty of Data Visualization

David McCandless talking at TED about data visualization:

Data science is the future and there cannot be data science without data visualization and vice versa.

Or in Bundy’s Frank Sinatra words: You can’t have one without the other.

Original title and link: The Beauty of Data Visualization (NoSQL databases © myNoSQL)