Database Systems: Overview

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Related lectures (32)

Relational vs NoSQL: Evolution and Comparison

Explores the historical debate between relational and non-relational data models, covering key characteristics and examples of each.

File Systems: Organization and Indexing Techniques

Discusses file systems, focusing on data organization, indexing techniques, and their impact on database performance.

Data Management: Efficient Storage and Indexing

Covers efficient data storage, indexing, and management in databases.

NoSQL Databases: Overview

Explores the world of NoSQL databases and MongoDB's key features.

Storage Technologies Overview

Covers the basics of storage technologies and database system architecture.

Concurrency Control & Recovery in Databases

Delves into transaction management, concurrency control, and recovery in databases to ensure data integrity and system resilience.

DBMS Principles and Operators

Covers the fundamentals of DBMS, relational algebra operators, and their importance in managing large datasets.

Handling Data: Intro to Pandas

Introduces the fundamentals of handling data, emphasizing the importance of Pandas and data modeling for effective analysis.

Spark Data Frames

Covers Spark Data Frames, distributed collections of data organized into named columns, and the benefits of using them over RDDs.

Data Modeling: Concepts and Applications

Introduces data modeling concepts, SQL usage, and Pandas library applications for efficient data processing.

Querying a database: the SQL language

Covers the SQL language for interacting with databases through structured queries, including selecting, filtering, aggregating, and sorting data.

Semantic Modelling: Tabular Data and RDF

Introduces semantic modelling through tabular data and RDF, covering relational databases, schema migration, future-proof schemata, SPARQL querying, and metaknowledge limitations.

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