Tuesday, October 18, 2016

DataOps: Combining data analytics and DevOps


Blogging and writing articles for Fixate is fun!
Next to learning about the Fixate customers like Sumo Logic and PagerDuty it is also exciting to combine IT disciplines in 1 article.
As you already know I am a trained software tester interested in data science.
Fixate is DevOps oriented, so I investigated if data science is related to DevOps.
Well, it is: DataOps.
DataOps is the extension of DevOps values and practices into the data analytics world. The DevOps philosophy emphasizes seamless collaboration between developers, quality assurance teams and IT Ops admins. DataOps does the same for the admins and engineers who store data, analyze data, archive data and deliver data.
In other words, DataOps is all about streamlining the processes involved in storing, interpreting and deriving value from big data. It aims to break down the siloes that have traditionally separated different teams from one another in the data storage and analytics fields.

Great, a story about DataOps, that's old school TestingSaaS.
Well, now it's time for something new. As you already saw in an earlier blogpost, TestingSaaS is resurrected, and I wanted to alter my blog reporting.
I always wanted to develop an infographic and why not now? So for my DataOps article I devised an infographic on DataOps, which can be found here on the Fixate Sweetcode.
It shows the infographic and an accompanying story.
In my opinion, this dual way of reporting attracts two kinds of readers: the visual (infographic) and the text readers.
And for making an infographic you really need to know your theme, otherwise you can't grasp it all in a simple, though elegant, infographic.
So, a lot of advantages.

Have fun reading and if you have any questions or feedback do not hesitate to contact me.

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