Big data can be characterized as a data set having four V’s.
Which are
1- Volume-
Internet, sensors, actuators and other digital platforms generate a huge volume of data. These data can be considered as big data.
2- Variety-
Data variety refers to different forms of data. Such as text, images, videos, server log files, sensors’ generated data.
3- Velocity-
The speed at data is generated and analyzed is a parameter to be considered data to be big data.
4- Veracity-
Data quality and importance also an extended parameter for a data set be big data.
The above-mentioned characteristics of data differ from traditional data to big data.
Big Data Analytics-
Big data analytics refers to advanced techniques and algorithm to analyze big data.
Such as machine learning algorithms and data science techniques.
Big Data Analytics Tools-
1- R programming
2- Apache Spark
3- Python
4- Weka
References-
[1]- Russom, P., 2011. Big data analytics. TDWI best practices report, fourth quarter, 19(4), pp.1-34.