Covers Spark Data Frames, distributed collections of data organized into named columns, and the benefits of using them over RDDs.
Covers the fundamentals of database systems, including data modeling, information processing, and the challenges of managing large volumes of data.
Introduces fundamental concepts of data management, including data models, databases, and key tasks.
Introduces the Entity-Relationship model for designing databases with a focus on conceptual and relational aspects.
Covers relational and spatial databases, including storage, management systems, ACID properties, historical typologies, primary and foreign keys, and spatial functions.
