Data volume refers to the amount of data collected or processed. It impacts storage requirements, processing power, and data management strategies.
Data quality management in Big Data projects face challenges such as data volume, variety, velocity, veracity, and data integration. Ensuring…
Data integration for IoT applications poses significant challenges due to various factors such as volume, data heterogeneity, security, and real-time…