OLAP Data Model: Multidimensional and Relational Approaches

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Large-scale SQL Processing

Introduces data frames as a space-efficient data representation with an extensible SQL-like language.

Views: Simplifying SQL Queries

Explores views in SQL, covering creation, materialization, maintenance, cube building, and top-k queries optimizations.

Database Management Systems: Overview

Covers database management systems principles, design, implementation, and storage options like flat CSV files.

Philosophy of Space and Time: Ontology and Dynamics

Examines philosophical perspectives on space, time, laws of nature, and dynamics.

DBMS Principles and Operators

Covers the fundamentals of DBMS, relational algebra operators, and their importance in managing large datasets.

Efficient Analytics: Adapting to Modern Data Challenges

Covers the adaptation of analytics systems to modern hardware and data challenges, focusing on efficiency and scalability through innovative approaches and hybrid systems.

Introduction to Database Systems

Covers the basics of database systems, including data modeling, DBMS, data independence, and the course overview.

Spark Data Frames

Covers Spark Data Frames, distributed collections of data organized into named columns, and the benefits of using them over RDDs.

Learning Models over Relational Databases

Explores learning models over relational databases, emphasizing prediction quality and the importance of structure-aware learning.

Data Management: Efficient Storage and Indexing

Covers efficient data storage, indexing, and management in databases.