Question: How do you resolve the error in SQL that says "Arithmetic overflow error converting expression to data type bigint"

An arithmetic overflow error occurs when a mathematical operation exceeds the maximum value that can be represented by a particular data type. In Python, this error typically occurs when trying to perform an arithmetic operation on two very large numbers that cannot fit within the range of a standard integer or float data type. To avoid arithmetic overflow errors in Python, it is important to use the appropriate data types for your calculations. For example, if you are working with very large numbers, you should use the `bigint` data type instead of an `int`. The `bigint` data type can represent integers up to 9223372036854775807 (which is the largest integer value that can be represented by a Python `long` data type). Here is an example of how to use the `bigint` data type in Python

python from decimal import Decimal, getcontext # Set the precision to 100 decimal places getcontext().prec = 100 # Define two very large numbers as bigints a = Decimal("12345678901234