Forums » Discussions » I read that many big data analysts prefer not to use DevOps, is this correct?
As some Big Data projects turn out to be more difficult in practice than initially expected, IT leaders are under serious pressure to get the desired result faster. This forces analysts to reconsider the underlying algorithms. And these major changes in analytical models often dictate dramatically different infrastructure requirements compared to those that were originally planned. Therefore, there are a number of significant advantages that this https://itoutposts.com/devops-outsourcing-services/ concept opens up for big data.
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No, i disagree with this article. Many of the IT Companies are transforming the traditional method to devops culture for quick delivery of products. The companies i have known are Devops service providers who are providing devops services
Big Data is presently the most in-demand segment in corporate software development & promotion. The fast and consistent rise of data quantities has fueled the appeal of Big Data technology. Dealing using big data entails just dealing with massive amounts of stored data. Big data architectural frameworks may serve as designs for infrastructures & solutions, logically detailing how big data solutions can operate, the elements employed, how the info will flow, or security considerations. Data architecture services allow organizations to function properly.