The term Big Data is somewhat loose. Roughly defined, it refers to any data that exceeds the users ability to analyze it in one of three dimensions (the three Vs): Volume, Velocity and Variety. Laney [1, 2] Each of these has different challenges. Huge volumes of data require the ability to store and retrieve the data efficiently. High velocity data requires the ability to ingest the data as it is created, essentially very fast internet connections. Highly variable data can be difficult to organize and process due to its unpredictability and unstructured nature. Bieraugel  Also, multiple data streams can be combined to answer a variety of question. All forms of big data can require high performance computing and specialized software to analyze. Given the fuzziness of defining big data.
|Original language||English (US)|
|Title of host publication||Big Data and Visual Analytics|
|Publisher||Springer International Publishing|
|Number of pages||12|
|State||Published - Jan 15 2018|
All Science Journal Classification (ASJC) codes
- Computer Science(all)