Big data comes with a lot of new terminology that is sometimes hard to understand. Therefore we have created an ABC of big data that should give some insights. Some of the definitions refer to a corresponding blog post. Of course this big data glossary is not 100% complete, so please let us know if there are missing terminology that you would like to see included.
A
Aggregation – a process of searching, gathering and presenting data
Algorithms – a mathematical formula that can perform certain analyses on data
Analytics – the discovery of insights in data
Anomaly detection – the search for data items in a dataset that do not match a projected pattern or expected behaviour. Anomalies are also called outliers, exceptions, surprises or contaminants and they often provide critical and actionable information.
Anonymization – making data anonymous; removing all data points that could lead to identify a person
Application – computer software that enables a computer to perform a certain task
Artificial Intelligence – developing intelligence machines and software that are capable of perceiving the environment and take corresponding action when required and even learn from those actions.
Source: SmartCollective