Put simply, big data is larger, more complex data sets, especially from new data sources. These data sets are so voluminous that traditional data processing software just can’t manage them. But these massive volumes of data can be used to address business problems you wouldn’t have been able to tackle before.
What is Big Data? Big Data is a collection of data that is huge in volume, yet growing exponentially with time. It is a data with so large size and complexity that none of traditional data management tools can store it or process it efficiently. Big data is also a data but with huge size.
Until recently, data was mostly produced by people working in organizations. The data usually had a specific structure. It was the basis of records for money paid, deliveries made, employees hired, and so on. This data is still vital to businesses. Now, big data concepts mean that data processing must manage:
- High volume (lots of data)
- High velocity (data arriving at high speed)
- High variety (many different data sources and formats)
