
Big data refers to mass data that is too large, too volatile or too unstructured to be analysed using conventional data processing methods. However, analysing this data can provide completely new insights. They are used in risk assessment, for example.
The data is primarily characterised by its scope and complexity. Their rapidly changing nature and their generally weak structure are further characteristics. In German, experts usually also speak of mass data, although the definition is identical. In normal usage, the term big data is also used as a collective term for various digital technologies. From a social perspective, they are causing a social upheaval. From a technical perspective, it creates an era of new, digital possibilities for communication and data processing. The concept of big data is not static, but is subject to constant change. As a rule, the term is used for the technology that makes it possible to collect and analyse this data.
Data warehouse or data lake
Big Data - Relevant for SMEs?
Data analysis for SMEs
Work 4.0: Faster, further, higher or deceleration?
Study on BIG DATA data analysis in companies by KPMG and Bitkom Research