Many big data analytics teams choose to not use DevOps methodologies, but there are real benefits to applying DevOps concepts to those big data initiatives.
Extracting accurate and meaningful answers from big data is tough. It's often made more challenging given the way big data software developers and IT operations lack coordination in many enterprises. Even though an IT organization may practice sound DevOps strategies for other supported applications, big data projects often remain siloed for a variety of reasons.
Today we're going to look at what DevOps is and why many big data project teams choose to not use DevOps methodologies. We’ll then move on to the benefits that DevOps can provide, as well as any challenges that might be faced along the way when moving big data to a DevOps process model.
Today we're going to look at what DevOps is and why many big data project teams choose to not use DevOps methodologies. We’ll then move on to the benefits that DevOps can provide, as well as any challenges that might be faced along the way when moving big data to a DevOps process model.
Image: Pete Linforth/Pixabay
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