The Role of Big Data in Data Science
Big Data refers to vast volumes of structured and unstructured data generated from multiple sources, including IoT devices, social media, and transactional systems. Handling and processing this data efficiently is a major challenge in Data Science.
Technologies for Big Data Processing:
- Apache Hadoop – Distributed storage and processing framework.
- Apache Spark – Fast in-memory computing for real-time analytics.
- Google BigQuery – Cloud-based data warehouse for large-scale analytics.
- Kafka & Flink – Real-time data streaming and event processing tools.
Big Data analytics helps organizations extract value from vast datasets, leading to improved decision-making and operational efficiency.
