Mind map
big data
Map content
big data
velocity
- Big data problems frequently have to deal with real time flows of data
- Events happen in the real world and the data generated is real time, and is often time sensitive
- Big data problems frequently have to deal with real time flows of data
volume
- It is difficult to put a size limit in what counts as big data, indeed what was considered big yesterday may not be considered big tomorrow
- It is clear that big data problems involve data sets that are so large and complex that traditional tools, such as relational database management systems, are not able to deal with them effectively
- It is difficult to put a size limit in what counts as big data, indeed what was considered big yesterday may not be considered big tomorrow
variety
- Much of the data produced is unstructured-this is not data that can easily be put into relational database tables.
- It is video, audio and image as well as text and numeric data
- The effective management of the volume, velocity and variety of all this data is an important challenge for the big data industry
- It is video, audio and image as well as text and numeric data
- Much of the data produced is unstructured-this is not data that can easily be put into relational database tables.