Data Extraction
Data extraction is the process of retrieving structured or unstructured data from various sources, such as databases, websites, documents, or APIs, for further processing, analysis, or storage. It involves techniques like web scraping, parsing, and querying to collect relevant information efficiently. This foundational step is critical in data pipelines, enabling organizations to gather insights from diverse data repositories.
Developers should learn data extraction to build systems that automate data collection from sources like websites, logs, or external APIs, which is essential for data-driven applications, business intelligence, and machine learning projects. It's particularly useful in scenarios such as market research, competitive analysis, and real-time monitoring, where timely access to data drives decision-making and operational efficiency.