NoSQL databases: MongoDB features

Related lectures (32)

Page 1 of 4

Covers the origins and types of NoSQL databases, focusing on MongoDB and CRUD operations.

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

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

Covers the SQL language for interacting with databases through structured queries, including selecting, filtering, aggregating, and sorting data.

Explores the world of NoSQL databases and MongoDB's key features.

Covers the origins, properties, and types of NoSQL databases, focusing on MongoDB and the CAP theorem.

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

Discusses query processing models and relational operations, focusing on selections, projections, and joins in data-intensive systems.