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Related lectures (10)
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OLAP Data Model: Multidimensional and Relational Approaches
Explains OLAP data models, focusing on multidimensional and relational approaches.
Data Warehouses and Decision Support Systems
Explores data warehouses, decision support systems, OLAP, data lakes, multidimensional data models, and query optimizations.
OLAP: Overview and Queries
Introduces OLAP concepts, schemas, queries, and optimizations for efficient data analysis.
OLAP Queries: Aggregations, Cube Operator, and Optimizations
Explores OLAP queries, cube operator, super-aggregates, and optimization techniques.
NoSQL Databases: Origins and Types
Covers the origins and types of NoSQL databases, focusing on MongoDB and CRUD operations.
Knowledge Representation: Semantics and Data Structures
Explores knowledge representation, data structures, semantics, and the challenges of searching for data on the web.
Data Warehouses and Decision Support Systems
Explores views in data warehouses, materialization tradeoffs, top-k queries optimizations, and the impact of column stores.
Semantic Web: Knowledge Graphs
Explores knowledge representation, information extraction, and the Semantic Web vision, emphasizing standardization, mapping, and ontologies in structuring data.
Semantic Web: Modeling and Ontologies
Explores the Semantic Web, database schemas, XML data model, and ontologies.
Spark Data Frames: Overview and Performance Analysis
Covers Spark Data Frames, their performance benefits, Catalyst Optimizer, PySpark integration, and Gutenberg corpus analysis.
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