Final answer:
Data filtering during extraction significantly determines the size and specifics of the extracted dataset. It is a critical part of data processing in Computers and Technology, often used to improve the efficiency of data analysis.
Step-by-step explanation:
The phrase "Filters the data as it extracts and will affect how big your extract is" refers to the process of data extraction and transformation, commonly known in the field of Computers and Technology. When extracting data from various sources for the purpose of analysis or storage, filters can be applied to select only certain portions of the data that meet specific criteria. This selective process plays a crucial role in determining the size of the data extract, which could impact storage requirements, processing time, and ultimately the efficiency of data analysis.
For example, if a company uses a customer database and wants to analyze the purchasing behavior of customers from a particular geographic location, filters can be applied during data extraction to only include records of customers from that region. As a result, the extract would be smaller, more manageable, and more focused on the research objectives.