Research Practitioner’s Handbook on Big Data Analytics 1st Edition

Research Practitioner’s Handbook on Big Data Analytics — 1st Edition by S. Sasikala and D. Renuka Devi

Cut through the noise of data overwhelm with a practical, research-focused guide that bridges theory and real-world application. This handbook delivers clear, actionable strategies for designing, executing, and evaluating big data analytics projects—ideal for researchers, data scientists, and decision-makers across academia and industry.

Inside you’ll find concise explanations of core concepts, step-by-step workflows for data collection and preprocessing, rigorous approaches to experimental design, and robust evaluation metrics that make results reproducible and defensible. The text emphasizes methodological integrity, ethical considerations, and scalable architectures for processing large datasets—making it particularly useful for teams working in research institutions, startups, and enterprise environments across India, Asia, and the global market.

Practical value is front and center: learn how to choose the right analytical techniques, align research questions with data capabilities, and translate complex outputs into actionable insights for policy, healthcare, finance, and engineering domains. Each chapter guides you from problem formulation to interpretation, helping you build confidence in deploying advanced analytics while avoiding common pitfalls.

Whether you are a doctoral student designing empirical studies, a practitioner integrating analytics into Books, or a manager evaluating project proposals, this handbook equips you with the tools and frameworks to succeed. Add this authoritative resource to your library to accelerate research impact and operationalize big data initiatives with clarity and rigor.

Order your copy today and start turning large-scale data into reliable, research-driven decisions.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.