Extracting Information from Data

This study guide covers data and big data, including transforming data into information, the rise of big data, server farms and data centers, and scalability. It also explores metadata, its uses, and challenges in data collection and processing, such as data uniformity and cleaning data. Finally, it addresses data biases, understanding and mitigating them. Key terms include correlation vs. causation, and the guide provides practice questions and exam tips.