OLAP cube

Related lectures (13)

Explores data warehouses, decision support systems, OLAP, data lakes, multidimensional data models, and query optimizations.

Explores the challenges of combining OLTP and OLAP systems into a unified system, emphasizing the need for interference-aware resource management.

Explains OLAP data models, focusing on multidimensional and relational approaches.

Introduces OLAP concepts, schemas, queries, and optimizations for efficient data analysis.

Explores OLAP queries, cube operator, super-aggregates, and optimization techniques.

Covers OLAP queries, examples of comparisons, ranking, and optimizations for query performance.

Explores views in SQL, covering creation, materialization, maintenance, cube building, and top-k queries optimizations.

Explores the micro-architectural analysis of modern DBMS, focusing on performance optimization and data cache stall mitigation.

Introduces data warehousing fundamentals, challenges, and the innovative concept of a 'lakehouse'.

Explores views in data warehouses, materialization tradeoffs, top-k queries optimizations, and the impact of column stores.

Explores challenges and solutions for real-time updates on large column stores on disk, focusing on snapshot isolation and query performance.

Covers data warehouses, data lakes, OLTP vs. OLAP, data quality, and the Data Lakehouse concept.

Explores database query optimization, discussing static versus dynamic optimization, scan sharing, and the impact on DBMS performance.

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