OLAP Data Model: Multidimensional and Relational Approaches

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Related lectures (32)

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Data Warehouses and Decision Support Systems

Explores data warehouses, decision support systems, OLAP, data lakes, multidimensional data models, and query optimizations.

Relational Model: Basics

Introduces the relational model, SQL, keys, integrity constraints, ER translation, weak entities, ISA hierarchies, and SQL vs. noSQL.

Database Management Systems: Fundamentals

Introduces the fundamentals of database management systems, covering relational model, storage options, data integrity, queries, and data manipulation languages.

Data-Intensive Systems: Relational Model and Algebra

Introduces the relational model and algebra, essential for understanding data-intensive systems and effective database management.

Handling Data: Intro to Pandas

Introduces the fundamentals of handling data, emphasizing the importance of Pandas and data modeling for effective analysis.

Relational Model: Basics

Covers the basics of the relational model in database management systems, including data models, primary and foreign keys.

OLAP: Overview and Queries

Introduces OLAP concepts, schemas, queries, and optimizations for efficient data analysis.

Entity-Relationship Model

Introduces the Entity-Relationship model for designing databases with a focus on conceptual and relational aspects.

Data: Clouds and Things

Covers the fundamentals of data, cloud storage, and the Internet of Things.

Data Wrangling with Hadoop: Storage Formats and Hive

Explores data wrangling with Hadoop, emphasizing storage formats and Hive for big data processing.