What is the primary goal of data management in analytics?
Data management ensures that data is accurate, accessible, and properly structured for analysis and decision-making.
Which process involves removing duplicate and inconsistent data to improve quality?
Data cleaning helps ensure accuracy and consistency by removing errors, duplicate entries, and inconsistencies in datasets.
Which file format is commonly used for structured data storage in analytics?
CSV (Comma-Separated Values) files are widely used for storing structured data due to their simplicity and compatibility with analytical tools.
What is the primary purpose of data integration?
Data integration combines data from different sources into a unified view to support comprehensive analysis and decision-making.
Which database type is best suited for handling large-scale structured data?
Relational databases use structured tables and relationships to efficiently store and retrieve large amounts of structured data.
Why is data normalization important in data preparation?
Data normalization helps reduce redundancy and improve data integrity by organizing data into structured formats.