Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.
Covers the fundamentals of database systems, including data modeling, information processing, and the challenges of managing large volumes of data.
Covers relational and spatial databases, including storage, management systems, ACID properties, historical typologies, primary and foreign keys, and spatial functions.
Introduces database systems, covering DBMS ecosystem, relational model, course overview, prerequisites, course outline, grading scheme, projects, and teaching methods.
Covers query processing with relational operations, focusing on different join methods and the impact of buffering.
Covers efficient GPU-accelerated join optimization for complex queries, focusing on improving optimization times and heuristic plan quality.
