Big Data
Big Data refers to extremely large and complex datasets that cannot be effectively managed or processed using traditional data handling methods and software tools.
Big Data is characterised by the “Three Vs”: Volume (the massive amount of data), Velocity (the speed at which data is generated and processed), and Variety (the different types of structured and unstructured data). Modern organisations collect and analyse these massive datasets to uncover patterns, trends, and associations, particularly relating to human behaviour and interactions.
The challenge of Big Data isn’t just in storing vast amounts of information, but in processing it to extract meaningful insights. This has led to the development of specialised tools and platforms like Hadoop, Spark, and NoSQL databases that can handle distributed processing and storage of enormous datasets across clusters of computers.
Examples
- Social media interactions and user behaviour
- Weather and climate data
- Financial market transactions
- Internet of Things (IoT) sensor readings
- Healthcare patient records and research data