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Lecture
Query Optimization: Heuristics and Cost-Based Approach
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Related lectures (32)
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Query Operators: Part 1
Explores query processing steps, physical plans, pipelined execution, and hashing for projections and joins.
Data Wrangling with Hadoop
Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.
Dynamic Binary Translation: Overcoming Binary Compatibility Challenges
Covers dynamic binary translation as a solution to binary compatibility issues in computer architectures.
Relational Query Optimization
Covers relational query optimization, including logical and physical query plans, cost estimation, equivalences, and the System R strategy.
Query Processing: Relational Operations and Models
Discusses query processing models and relational operations, focusing on selections, projections, and joins in data-intensive systems.
Data Wrangling with Hive: Managing Big Data Efficiently
Covers data wrangling techniques using Apache Hive for efficient big data management.
Database Management Systems: Overview
Covers database management systems principles, design, implementation, and storage options like flat CSV files.
Shared-Work Systems: Optimization and Execution Scalability
Explores scalability challenges in shared-work systems, emphasizing optimization and execution, experimental setups, data-query operators, and the impact of schema on learning.
Optimization Heuristics: Example of INGRES Database System
Explores heuristic-based optimization using the INGRES database system example.
Query Optimization: Improving Database Performance
Discusses query optimization in database systems, emphasizing the impact on performance and the decisions involved in improving database performance.
