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 data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.
Covers SQL data definition, manipulation, and views in databases.
Covers the origins, properties, and types of NoSQL databases, focusing on MongoDB and the CAP theorem.
Covers the overview of information systems, data modeling, managing data, and the distinction between data and information.
