Tag: big_data_interview
PySpark’s expm1: Precision in exponential computations : Mastering exponential calculations in PySpark
pyspark.sql.functions.expm1 This function computes the result of e raised to the power of a given number, and then subtracts one….
Finding the largest value among the list of columns provided using PySpark : greatest
This article presents a thorough exploration of the greatest function, supported by real-world examples. The greatest function in PySpark identifies the…
Calculating the factorial of a given number using PySpark : factorial
This article offers a comprehensive view of the factorial function, alongside hands-on examples. The factorial function in PySpark calculates the factorial…
Computing the hypotenuse of a right-angle triangle given the two sides using PySpark. (hypot)
This article provides an in-depth look into the hypot function, accompanied by practical examples. The hypot function in PySpark computes…
Extracting hour component from timestamps using PySpark
This article focuses on the hour function, offering practical examples and scenarios to highlight its relevance. The hour function in…
Converting numbers or binary strings into their corresponding hexadecimal using PySpark.
PySpark provides, the hex function stands out when it comes to data transformations related to hexadecimal representation. This article sheds…
How to computes the inverse tangent (arc tangent) of a value using PySpark : trigonometric computations
atan function computes the inverse tangent (arc tangent) of a value, akin to java.lang.Math.atan(). The atan function is particularly useful when…
Identifying the Maximum value among columns with PySpark’s greatest function
When managing data in PySpark, it’s often useful to compare values across columns to determine the highest value for each…
Ensuring data integrity with PySpark’s crc32 function : Cyclic redundancy checks which detect accidental changes to raw data.
One popular method of ensuring integrity is through the use of Cyclic Redundancy Checks (CRC), which detect accidental changes to…
Calculating correlation between dataframe columns with PySpark : corr
In data analysis, understanding the relationship between different data columns can be pivotal in making informed decisions. Correlation is a…
