A STUDY ON THE ADOPTION OF EMERGING BIG DATA FRAMEWORKS FOR BUSINESS SOLUTIONS AT COGNIFYZ TECHNOLOGIES, NAGPUR

Abstract

Emerging big data frameworks have transformed business solutions by enhancing data-driven decision-making, operational efficiency, and predictive analysis capabilities. This study explores the adoption and integration of advanced big data frameworks at Cognifyz Technologies, Nagpur, emphasizing their impact on business problem-solving and innovation. A qualitative research methodology was employed, including in-depth interviews with key stakeholders and an analysis of organizational data workflows. Findings reveal that the implementation of frameworks such as Apache Hadoop, Spark, and Flink has streamlined the company’s data processing capabilities, enabling real-time insights and actionable strategies. Challenges related to skill gaps, infrastructure readiness, and data governance were identified, which underscore the need for tailored training programs and policy reforms. The research highlights the correlation between effective framework utilization and improved business agility, particularly in addressing complex, high-volume data scenarios. Practical recommendations include fostering a culture of continuous learning and investing in scalable infrastructure to optimize big data potential. This paper contributes to the academic discourse by providing insights into the practical challenges and benefits of adopting emerging frameworks within mid-sized technology enterprises. It also serves as a guide for organizations aiming to leverage big data innovations to achieve competitive advantage in the dynamic market landscape.