35872015
Beschreibung
Mindmap von Aleksander Guimaraes, aktualisiert more than 1 year ago
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Erstellt von Aleksander Guimaraes
vor mehr als 2 Jahre
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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
- 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 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
- 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.
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