Database Reference
In-Depth Information
Volume
...
Zettabyte
Exabyte
Petabyte
Terabyte
...
...
Variety
Relational
Data
...
Log
Data
...
...
Batching
Raw
Tex t
...
...
...
Streaming
Velocity
Fig. 1.1
Characteristics of Big Data
data challenge is for companies to gain the ability to analyze and understand
Internet-scale information just as easily as they can now analyze and understand
smaller volumes of structured information.
As shown in Fig.
1.1
, the characteristics of these overwhelming flows of data
which are produced at multiple sources are currently subsumed under the notion of
Big Data
with 3Vs (volume, variety and velocity) defining properties as follows:
Vo l u m e
: refers to the scale of data, from terabytes to zettabytes.
Velocity
: reflects streaming data and large-volume data movements.
Va r i e t y
: refers to the complexity of data in many different structures, ranging
from relational to logs to raw text.
In general, the continuous increase of computational power, in the last two
decades, has been behind producing this overwhelming flow of data which called
for a paradigm shift in the computing architecture and large scale data processing
