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Lecture
Data Modeling: Concepts and Applications
Graph Chatbot
Related lectures (32)
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Entity-Relationship Model
Introduces the Entity-Relationship model for designing databases with a focus on conceptual and relational aspects.
General Introduction to Data Science
Offers a comprehensive introduction to Data Science, covering Python, Numpy, Pandas, Matplotlib, and Scikit-learn, with a focus on practical exercises and collaborative work.
Data: Clouds and Things
Covers the fundamentals of data, cloud storage, and the Internet of Things.
Data, big data, clouds and IoT
Explores data representation, databases, cloud computing, and challenges in the cloud environment.
Data formats and data wrangling with Hadoop
Explores Apache Hive for data warehousing, data formats, and partitioning, with practical exercises in querying and connecting to Hive.
Data Wrangling Techniques: HBase and Hive Integration
Covers data wrangling techniques using HBase and Hive, focusing on integration and practical applications.
Introduction to Data Stream Processing: Concepts and Applications
Covers the principles of data stream processing and its applications in real-time data analysis.
Data Wrangling with Hadoop: Advanced Techniques
Covers advanced data wrangling techniques using Hadoop, focusing on Hive and HBase integration.
Data Cleaning Challenges: Optimizing Error Detection
Addresses challenges in data cleaning for analysis, proposing optimizations to reduce processing time.
Data Wrangling: Transforming Data for Analysis
Covers the process of data wrangling, focusing on transforming and preparing data for analysis.
