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Transcript

Technologies for the application of Big Data in business: Data Warehouses 2.0.

WELCOME TO UNIT FOUR

Objective

Currently, there is a wide variety of programming languages that cater to the needs of Big data, data analytics, and data science. R is a free and open source programming language based on another programming language called S developed by AT&T; its main function is in data manipulation, calculations, and graphics.

  • Effective data storage and manipulation.
  • Calculation operators on indexed variables (arrays), mainly matrices.
  • A broad, coherent, and integrated collection of tools for data analysis.
  • Graphical capabilities for data analysis, running directly on the screen or printer
  • A well-developed, simple, and effective programming language

According to its creators and the developers who maintain the language, its main characteristics are:

APPLICATIONS

Good performance, resembling statically compiled systems in C

Multiple dispatch: provides the ability to define function behavior through many combinations of arguments.

Dynamic type system: documentation, optimization, and dispatching types

REGARDING THE REFERENCES OF ITS CREATORS, IT HAS THE FOLLOWING FEATURES:

Let's move on!

Keep going with the same motivation and enthusiasm.