Big Data refers to mass data that is too large, too volatile or too unstructured to be analysed using conventional data processing methods. However, the evaluation of this data can bring completely new insights. They are used in risk assessment, for example.
The data are predominantly characterised by their volume, their 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 point of view, they cause a social upheaval. From a technical point of view, they create 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 evaluate this data.
Data warehouse or data lake
Continue reading ?
Big Data – Relevant for SMEs?
Continue reading ?
Data analysis for SMEs
Continue reading ?
Work 4.0: Faster, further, higher or deceleration?
Continue reading ?
Study on BIG DATA data analysis in companies by KPMG and Bitkom Research
Continue reading ?
Are German SMEs missing out on digitalisation?
Continue reading ?
