Semi-Structured Data

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Related lectures (32)

Page 3 of 4

Model Representation: Structures and Functions

Covers the representation of mathematical models, functions, and data structures in information systems.

Data modeling: Geographic Information Systems

Introduces data modeling in the context of Geographic Information Systems, covering the added value and methods used.

Introduction to Database Systems

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

Data Warehouses and Decision Support Systems

Explores views in data warehouses, materialization tradeoffs, top-k queries optimizations, and the impact of column stores.

Data Modeling: Concepts and Applications

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

Data Science Fundamentals

Covers the fundamentals of data science, emphasizing breadth over depth and practical application in machine learning and data analysis.

Analytics on Data at Rest and Data in Motion

Explores combining data at rest with data in motion, emphasizing the Lambda architecture complexities and quality assessment of streams and batches.

Views: Simplifying SQL Queries

Explores views in SQL, covering creation, materialization, maintenance, cube building, and top-k queries optimizations.

Introduction: What do we mean by Data Science?

Introduces the team, provides a crash course on Python, and explores the journey into Data Science and the importance of refining data.

Database Systems: Challenges and Innovations

Explores challenges and innovations in database systems, emphasizing the need for efficient data management and adapting to modern hardware advancements.