Cloud Computing's Potential in Streamlining Laboratory Research and Data Analysis

This paper proposes using cloud computing to accelerate lab activities.Data may be stored in the cloud, processed in parallel using Apache Spark, and evaluated using Jupiter Notebooks.Performance measurements let the offered approach be compared to others.The research found that cloud-based technology offers quicker data processing, real-time collaboration, efficient data integration, high data security, low cost, and environmental sustainability.These perks help data scientists operate better.Cloud computing's fast rise has created several possibilities to speed up lab work and data processing.This paper proposes a complete cloud computing system for data storage, management, collaboration, and security.The cloud-based alternative is compared to six conventional approaches to demonstrate its superiority.Data processing speed, collaboration, data merging, security, cost-effectiveness, and environmental sustainability have improved due to them, according to research.According to this study, cloud computing makes scientific research more valuable and effective.