Description: Numeric data types in SQL are fundamental for representing and manipulating numeric values in databases. These types include INTEGER, FLOAT, and DECIMAL, each designed to meet different storage and precision needs. INTEGER is a data type that stores whole numbers, making it ideal for counting items or identifying records. FLOAT, on the other hand, is used to store floating-point numbers, allowing for the representation of decimal values with variable precision, which is useful in various calculations where a wide range of values is required. Finally, DECIMAL is a data type that allows for fixed precision, making it especially suitable for applications where accuracy in calculations is crucial. Choosing the right data type not only affects the precision of calculations but also influences the performance of SQL queries, as different data types may require different amounts of storage space and processing. Therefore, understanding the characteristics and limitations of each numeric data type is essential for optimizing SQL queries and ensuring efficient performance in database management.
