Big Data

The course "Big Data" aims to introduce, understand, analyze, design, and implement NoSQL database solutions in the context of Big Data environments. 

This course is intended for second-year Master's students in the ILSI speciality.

Generally, the course "Big Data" aims to:

•  Define Big Data List its 5 V's
• State the reasons why traditional relational databases fail to handle Big Data challenges
• Recall what the term "NoSQL" refers to List the historical context in which the term NoSQL emerged.
• Name the main characteristics and features of NoSQL databases
• Identify the data properties specific to NoSQL systems
• Identify the 4 main types of NoSQL databases
• State the 3 properties of the CAP theorem
• Recall the properties of the BASE theorem
• Name the properties of the PACELC theorem
• Explain the trade-offs of the CAP, BASE, and PACELC theorems
• Define horizontal scalability and vertical scalability
• Identify the main data distribution models used in NoSQL systems
• Compare NoSQL databases and traditional RDBMS
• Explain the internal working principles of each NoSQL database category 
• Interpret architectural differences, data models, and processing paradigms in the context of Big Data environments.
• Break down and evaluate frameworks and database models based on technical criteria
• Make and defend informed technical decisions about nosql database and Big Data framework choices
• Build, query, and process data using NoSQL systems and distributed computing frameworks