Introduction to Database Systems

Related lectures (32)

Page 1 of 4

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

Covers data wrangling techniques using Apache Hive for efficient big data management.

Explores transaction management, concurrency control, ACID properties, anomalies, and conflict serializability in database systems.

Delves into transaction management, concurrency control, and recovery in databases to ensure data integrity and system resilience.

Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.

Explores data representation, databases, cloud computing, and challenges in the cloud environment.

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

Covers the modeling of hydrological systems, focusing on the retention of floods and the example of the Routing System.

Introduces fundamental concepts of data management, including data models, databases, and key tasks.

Covers concurrency control techniques and eventual consistency in databases, including two-phase locking, strict 2PL, and Dynamo's algorithm.