Glossary of Big Data Terminology

Vincent Granville recently posted an excellent glossary of Big Data Terminology on his blog. If you're interested in learning more about Big Data, it might be worth a look. Here's a small sample:

A

Aggregation – a process of searching, gathering and presenting data
Algorithms – a mathematical formula that can perform certain analyses on data
Analytics – the communication 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.

B

Behavioural Analytics – analytics that informs about the how, why and what instead of just the who and when. It looks at humanized patterns in the data
Big Data Scientist – someone who is able to develop the algorithms to make sense out of big data
Big data startup – a young company that has developed new big data technology
Biometrics – the identification of humans by their characteristics
Brontobytes – approximately 1000 Yottabytes and the size of the digital universe tomorrow. A Brontobyte contains 27 zeros
Business Intelligence – the theories, methodologies and processes to make data understandable

You can find the full index here: BigData-Startups | The ABC of Big Data - Glossary