Category: article
PySpark : Casting the data type of a series to a specified type
Understanding Series.astype(dtype) The Series.astype(dtype) method in Pandas-on-Spark allows users to cast the data type of a series to a specified…
Cmdlet in PowerShell : Select Specific properties of objects or set of objects
Understanding the Select-Object Cmdlet in PowerShell The Select-Object cmdlet is a versatile and powerful tool in PowerShell, designed to select…
How to find out which user GitLab Runner is installed
To find out which user GitLab Runner is installed under, you can check the ownership of the GitLab Runner binary…
Spark : Return a Numpy representation of the DataFrame
Series.values method provides a Numpy representation of the DataFrame or the Series, offering a versatile data format for analysis and…
JavaScript : Iterate over an array and accumulate:reduce()
The reduce() method in JavaScript is used to iterate over an array and accumulate a single value based on the…
Spark : Detect the presence of missing values within a Series
In the landscape of data analysis with Pandas API on Spark, one critical method that shines light on data quality…
Spark : Transposition of data
In the realm of data manipulation within the Pandas API on Spark, one essential method stands out: Series.T. This method…
PySpark : Determining whether the current object holds any data : Series.empty
Within the fusion of Pandas API on Spark lies a crucial method – Series.empty. This method serves as a gatekeeper,…
How to Manage Dependencies in AWS Glue Jobs
AWS Glue empowers organizations to build robust data pipelines for ETL (Extract, Transform, Load) tasks in the cloud. However, as…
AWS Glue’s Integration with Amazon Athena and Amazon Redshift
AWS Glue, a fully managed extract, transform, and load (ETL) service, plays a pivotal role in orchestrating data workflows. Let’s…
