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Covers the fundamentals of database systems, including data modeling, information processing, and the challenges of managing large volumes of data.
Introduces the relational model, SQL, keys, integrity constraints, ER translation, weak entities, ISA hierarchies, and SQL vs. noSQL.
Covers relational and spatial databases, including storage, management systems, ACID properties, historical typologies, primary and foreign keys, and spatial functions.
Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.
Explores parallel and distributed databases, covering architectures, query optimization, data storage, and distributed transactions.
Explores code generation approaches, operator abstractions, query compilation, data format adaptation, and operational systems in database query processing.
Introduces database systems, covering DBMS ecosystem, relational model, course overview, prerequisites, course outline, grading scheme, projects, and teaching methods.
Explores query processing steps, physical plans, pipelined execution, and hashing for projections and joins.
Explores indexing in database systems, covering storage, files, and efficient data retrieval techniques using various types of indexes.
