Tag: Big Data

PySpark @ Freshers.in

Finding the position of a substring within a string using PySpark

pyspark.sql.functions.locate PySpark, a tool for handling large-scale data processing, offers a plethora of functions for string manipulation, one of which…

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PySpark : Reference a column in a DataFrame – col

In the world of PySpark, efficient data manipulation and transformation are key to handling big data. The col function plays…

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Perform ascending sorting of data while placing null values at the end in PySpark

In the realm of big data processing with PySpark, handling null values efficiently during sorting operations is crucial. The asc_nulls_last…

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Mastering the Pivot function in PySpark : Rotate data from a long format to a wide format

Understanding pivot in PySpark This article aims to elucidate the concept of pivot, its advantages, and its practical application through…

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PySpark sorts data within each partition independently : Efficient sorting

In the realm of big data processing with PySpark, managing data efficiently is crucial. sortWithinPartitions emerges as a key method…

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How to perform SQL-like column transformations in PySpark : selectExpr

selectExpr, a method that simplifies and enhances data transformation. This article aims to demystify selectExpr, highlighting its advantages and demonstrating…

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Duplicating the contents of a string column a specified number of times

The repeat function in PySpark is used to duplicate the contents of a string column a specified number of times….

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Extracting specific parts of a string that match a given regular expression pattern using PySpark

The regexp_extract function in PySpark is used for extracting specific parts of a string that match a given regular expression…

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PySpark : Replace parts of a string that match a regular expression pattern using regexp_replace

PySpark provides powerful string manipulation capabilities, a crucial aspect of which is regular expression replacement. This article delves into the…

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