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Lecture
Database Systems: Overview
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Related lectures (32)
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Data Wrangling with Hadoop: Storage Formats and Hive
Explores data wrangling with Hadoop, emphasizing storage formats and Hive for big data processing.
Relational Model: Basics
Covers the basics of the relational model in database management systems, including data models, primary and foreign keys.
SQL Client-Server Architecture + IDE
Covers the architecture of a typical DBMS and SQL interfaces like SQL Developer and DataGrip.
Introduction to Database Systems
Covers the fundamentals of database systems, including data modeling, information processing, and the challenges of managing large volumes of data.
Query Operators: Joins and Query Processing Techniques
Discusses advanced query operators, focusing on join techniques and their processing methods in relational databases.
Relational Databases: Summary
Concludes the exploration of relational databases and introduces database management systems.
Relational Databases: Summary
Covers relational databases and database management systems basics for upcoming lessons.
Learning Models over Relational Databases
Explores learning models over relational databases, emphasizing prediction quality and the importance of structure-aware learning.
Efficient Analytics: Adapting to Modern Data Challenges
Covers the adaptation of analytics systems to modern hardware and data challenges, focusing on efficiency and scalability through innovative approaches and hybrid systems.
Data Wrangling with Hadoop
Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.
