Data Wrangling: ETL Process and Wrangling Issues

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (32)

Page 3 of 4

Explores Big Data generation, storage, processing, and dimensions, along with challenges in data analytics, cloud computing elasticity, and security.

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.

Big Data Best Practices and Guidelines

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

Collaborative Data Science: Tools and Techniques

Introduces collaborative data science tools like Git and Docker, emphasizing teamwork and practical exercises for effective learning.

Handling Data: Intro to Pandas

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

Data Management: Overview

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

Distributed Computing: Challenges and Solutions

Explores challenges in distributed computing, data growth, and data types, emphasizing the battle against the three Vs in big data.

Data Cleaning Challenges: Optimizing Error Detection

Addresses challenges in data cleaning for analysis, proposing optimizations to reduce processing time.

Building DH Portal: Data Platform for Researchers

Showcases Haeeun Kim's internship experience in enhancing researchers' data cleaning and organizing processes.

Knowledge Representation: Semantics and Data Structures

Explores knowledge representation, data structures, semantics, and the challenges of searching for data on the web.