Main differences between Data Science and Big Data
Big Data is characterized by its “7V“: Volume, Variety, Velocity, Veracity, Value, Visualization, Variability. It brings together information of different types and sources while Data Science has the necessary techniques to analyze these volumes of data.
Data Intelligence provides incredible performance potentials. However, it is Data Science that provides the theoretical and experimental side, as well as providing a deductive and inductive process.
Data science uses intelligent models that learn from themselves, such as machine learning, along with statistical methods to train computers. In contrast, Big Data is responsible for the extraction of useful information found in large data sources
It can be said that Data Science would not exist if it were not for Big Data, since it develops within its scope. However, Big Data would not have (or would not obtain) its current value if it were not for the analyses and methods used by Data Science.