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Lecture
Indexing in Database Systems
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Related lectures (32)
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Indexing: File Organization & Techniques
Explores file organization, indexing techniques, and metadata in databases, emphasizing the importance of choosing the right search key.
File Organization and Indexing
Explores file organization, record formats, indexing techniques, and index classifications in databases, emphasizing the importance of efficient data storage and access.
Tree-Structured Indexing: B+ Trees Explained
Covers B+ Trees, a key data structure for efficient indexing in databases.
File Organization and Indexing
Explores file organization, indexing methods, and database storage design, including record formats, page formats, and index classification.
Data Wrangling with Hadoop
Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.
File Systems: Organization and Indexing Techniques
Discusses file systems, focusing on data organization, indexing techniques, and their impact on database performance.
Storage: Tree Indexing
Explores storage layers, disk management, flash disks, and B+ tree indexing for efficient data retrieval.
Data Wrangling with Hive: Managing Big Data Efficiently
Covers data wrangling techniques using Apache Hive for efficient big data management.
File Organization: Storage and Cache Management
Explores file and page organization in databases, cache management, and log-structured files.
Storage of geographic information
Covers the storage of geographic information using vector and grid formats, coordinate reference systems, and image formats.