Data Technology Today in 2017

Here we are in the first week of 2017 so it is time, once again, to look at what happened this past year in the blog. First of all, there were 16 new blog posts this year so I averaged a little more than one a month. That is less than what I would like to accomplish, but also a rate I can live with. I just want to make sure that I have enough new content here to keep you guys interested!

And it seems like there is continued interest. The graphic below shows 2017’s blog activity. There were over 46 thousand page views by over 36 thousand visitors.

2017-stats

The most popular post this year on the blog was one I posted a few years ago titled: An Introduction to Database Design: From Logical to Physical. There were 8,233 views of this particular post. The second most popular was a post on backup and recovery from 2014 that received about half as many views.

Who are you, out there, reading this blog? Well, I know where most of you live! Almost 20 thousand of you from my home country, the United States. But I also have a lot of great readers in India, as well as many others across the world, as can be seen here…

viewers

And how did most people find the blog? Unsurprisingly, it was by using a search engine, with terms like ‘types of database design’… ‘logical design to physical implementation’… ‘production data’… and many other data-related search terms. Twitter was the second most popular way for readers to find the blog, followed by my web site, LinkedIn, and Planet Db2.

So to end this brief synopsis of 2017, thank you to all of my regular readers – please keep visiting and suggesting more topics for 2018 and beyond. And if this is your first visit to the blog, welcome. Take some time to view the historical content – there are several informative posts that are popular every year… and keep checking back for new content on data, database, and related topics!

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About craig@craigsmullins.com

I'm a strategist, researcher, and consultant with nearly three decades of experience in all facets of database systems development.
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