Big Data
Big Data refers to extremely large and complex datasets that traditional data processing tools cannot handle efficiently. It involves the collection, storage, processing, and analysis of data characterized by high volume, velocity, variety, veracity, and value (the 5Vs). This concept enables organizations to extract insights, make data-driven decisions, and innovate in fields like business intelligence, scientific research, and AI.
Developers should learn Big Data concepts when working on projects involving massive datasets, such as real-time analytics, machine learning model training, or IoT data streams. It is essential for roles in data engineering, data science, and cloud computing, where skills in distributed systems, scalable storage, and parallel processing are required to manage and derive value from data at scale.