Introduction to Database Systems

Related lectures (32)

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

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

Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.

Explores data representation, databases, cloud computing, and challenges in the cloud environment.

Covers Distributed Information Systems, key tasks, methods, projects, evaluation, and exam support.

Introduces fundamental concepts of data management, including data models, databases, and key tasks.

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

Covers best practices and guidelines for big data, including data lakes, architecture, challenges, and technologies like Hadoop and Hive.

Covers the modeling of hydrological systems, focusing on the retention of floods and the example of the Routing System.

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