Parallel & Distributed DBMS

Related lectures (32)

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Explores parallel and distributed databases, covering architectures, query optimization, data storage, and distributed transactions.

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

Covers relational query optimization, including logical and physical query plans, cost estimation, equivalences, and the System R strategy.

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

Covers the basics of storage technologies and database system architecture.

Covers query processing with relational operations, including query optimization and different join algorithms.

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

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

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

Explores file and page organization in databases, cache management, and log-structured files.