Introduction to Streams

Related lectures (32)

Page 1 of 4

Explores data stream management, real-time analytics, data stream models, and processing challenges.

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

Covers the architecture of a typical DBMS and SQL interfaces like SQL Developer and DataGrip.

Covers query fusion, nested queries, and SQL operators in a geographical context.

Covers the functioning of conditional queries based on the WHERE clause.

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

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

Covers the fundamentals of database systems, including data modeling, information processing, and the challenges of managing large volumes of data.

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

Explores how views simplify query writing and are key in data warehouses.