Comparing Event-Driven vs Batch Analytics Workflows
In the modern data landscape, businesses rely heavily on analytics to drive informed decision-making. As organizations grow, they generate massive volumes of data from diverse sources, creating a need for efficient processing workflows. Two predominant analytics paradigms — event-driven and batch workflows — serve this purpose but cater to different operational needs. Understanding their distinctions, advantages, and applications is crucial for data professionals seeking to optimize analytics strategies.