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In today's binary world, digital health is of paramount importance, primarily due to the prevalence of IoT devices, upsurging health costs, growing elderly population, and shortage of clinical providers, to name a few. In light of these, providing efficient and smarter full-stack healthcare data analytics to manage and process healthcare data is a crucial topic from both academic and professional perspectives. The key goals of this full-stack healthcare data analytics are to detect health issues and promote human-being health proactively. The existing healthcare data analytics stacks are generally classified into commercial or open-source solutions. In designing a healthcare data stack, it is critical to offer the researchers a collaborative, modular, easy-to-use, cost/time-effective, reproducible, uniform, and shared- knowledge framework. Such healthcare stacks need to pave the way for researchers to focus on developing …