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. https://devops.com/aiops-how-to-solve-performance-issues-in-complex-data-pipelines/
blog article
AIOPS: HOW TO SOLVE PERFORMANCE ISSUES IN COMPLEX DATA PIPELINES
There seems to be a chasm between DevOps and big data teams in the enterprise, and the bridge over that chasm is long and treacherous.In fact, data analysts who are charged with managing and making sense of the growing volumes of data in most organizations traditionally have been excluded from the strategy-making and operations functions of DevOps personnel. Yet, data analysts are critical to the success of software development and at every stage of the software delivery pipeline. Let’s take a deeper look. We know that DevOps personnel are on the front lines in ensuring that all systems, both new and existing, perform as expected in a production environment. But, even today, DevOps teams struggle in dealing with technical challenges when faced with complex data pipelines and the underlying big data stack that supports them, including. The pressure is on. On average, companies with data-driven environments garner up to 50 percent higher market value than their competitors, according to IDC, and big data is a contributing factor. Thus, big data implementations have become a top priority for businesses of all sizes, and on multiple fronts: revenue acceleration, creation of new products and contributing to better, quicker decision-making. BALA VENKATRAO READ MORE