How does Big Data differ from traditional data management?
Big Data differs from traditional data management in terms of volume, velocity, variety, and veracity. Big Data refers to large and complex data sets that cannot be managed effectively using traditional data processing techniques. Traditional data management focuses on structured data and uses relational databases, while Big Data includes unstructured and semi-structured data from various sources. Big Data also requires advanced tools and technologies for storage, processing, and analysis. Additionally, Big Data involves real-time or near-real-time data processing due to its high velocity. Overall, Big Data offers new opportunities for insights and decision-making, but it also poses challenges in terms of data governance, privacy, and security.