Entity Resolution Techniques

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Related lectures (32)

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Data Modeling: Concepts and Applications

Explores data modeling concepts, SQL implementations, and practical applications in handling missing data.

Data Wrangling: Transforming Data for Analysis

Covers the process of data wrangling, focusing on transforming and preparing data for analysis.

Data Wrangling: Structuring and Wrangling Issues

Covers data wrangling stages, structuring techniques, and common issues in data preparation.

Temporality and Entity Resolution

Explores challenges in data temporality and techniques for entity resolution.

Handling Data: Data Models and Wrangling

Explores data handling fundamentals, including models, sources, and wrangling, emphasizing the importance of understanding and addressing data problems.

Data Wrangling with Hive: Managing Big Data Efficiently

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

Data Wrangling: ETL Process and Wrangling Issues

Explores the ETL process, data wrangling stages, and common issues.

Entity Resolution: Techniques and Applications

Explores entity resolution techniques for identifying and aggregating different entity profiles across datasets, covering challenges and solutions.

Data Wrangling and Analysis

Covers a homework assignment on data wrangling and analysis using Python's pandas library for real-world datasets.

Data Accuracy: Assessing Faithfulness and Error Detection

Explores data accuracy through faithfulness assessment, error detection, outlier handling, correlations, functional dependencies, violation detection, denial constraints, and data repairing techniques.