Database Management Systems: Overview

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Hydrology Modeling: Routing System

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

Learning Models over Relational Databases

Explores learning models over relational databases, emphasizing prediction quality and the importance of structure-aware learning.

Relational Model: Basics

Covers the basics of the relational model in database management systems, including data models, primary and foreign keys.

NoSQL Databases: Overview

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

Data Wrangling with Hive: Managing Big Data Efficiently

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

Entity-Relationship Model

Introduces the Entity-Relationship model for designing databases with a focus on conceptual and relational aspects.

Indexing in Database Systems

Explores indexing in database systems, covering storage, files, and efficient data retrieval techniques using various types of indexes.

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.

Spark Data Frames

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

Relational vs NoSQL: Evolution and Comparison

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