File Systems: Organization and Indexing Techniques

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Related lectures (32)

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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.

Data Wrangling with Hive: Managing Big Data Efficiently

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

Relational Databases: Fundamentals and ACID Properties

Covers relational databases, transactions, and data consistency in the context of historical database typologies.

Data Wrangling with Hadoop: Storage Formats and Hive

Explores data wrangling with Hadoop, emphasizing storage formats and Hive for big data processing.

Introduction to Database Systems

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

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.

Data: Clouds and Things

Covers the fundamentals of data, cloud storage, and the Internet of Things.

Relational Algebra and SQL: Foundations of Database Management

Introduces the relational model and relational algebra, focusing on SQL and its operations for effective database management.

Relational Model: Basics

Introduces the relational model, SQL, keys, integrity constraints, ER translation, weak entities, ISA hierarchies, and SQL vs. noSQL.