Big Data

Big data can be characterized as a data set having four V’s.

Which are

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1- Volume-

Internet, sensors, actuators and other digital platforms generate a huge volume of data. These data can be considered as big data.

Data variety refers to different forms of data. Such as text, images, videos, server log files, sensors’ generated data.

The speed at data is generated and analyzed is a parameter to be considered data to be big data.

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 refers to advanced techniques and algorithm to analyze big data.

Such as machine learning algorithms and data science techniques.

1- R programming

2- Apache Spark

3- Python

4- Weka

[1]- Russom, P., 2011. Big data analytics. TDWI best practices report, fourth quarter, 19(4), pp.1-34.