Plataformas para procesar datos no tradicionales​

Dive into the world of Big Data architectures and learn about the relevance of using Big Data technologies for a given problem. Develop simple scalable processing projects in Spark and understand the role of cloud computing as an alternative for processing and storing Big Data.

• Determine the pertinence of using Big Data technologies for a given problem.
• Develop simple scalable processing projects in Spark.
• Understand the role of cloud computing and its advantages and risks.

Explore the implementation of solutions based on non-traditional data using NoSQL technologies. Identify fundamental considerations for selecting and configuring tools based on diverse information modeling approaches.

• Identify fundamental considerations for the implementation of a solution using NoSQL technologies.
• Identify criteria for selecting and configuring tools based on information modeling.

Gain insights into georeferenced information, its frame of reference, and how to model and transform geographic entities. Learn and perform basic spatial analysis operations, and understand and conduct a geographic analysis exercise based on a case study.

• Understand georeferenced information and its modeling.
• Perform basic spatial analysis operations and a geographic analysis exercise based on a case study.