Why big data needs DevOps? The process of extracting accurate and meaningful insights from big data is tough. And it becomes even more challenging with a lack of coordination between big data software developers and IT operations, which is prevelant in most enterprises. Even though IT organizations often practice sound DevOps strategies for other supported applications, big data projects remain in siloes for a variety of reasons.
Big data science is a complex concept, especially the analytical sciences portion of big data, which has steered several IT leaders to abandon the DevOps processes and procedures completely. The…