Tag: Big Data

PySpark @ Freshers.in

Returning the last value in a group during aggregation in PySpark

pyspark.sql.functions.last PySpark’s last() function is part of the PySpark SQL module, and it’s used to return the last value in…

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PySpark @ Freshers.in

PySpark to count the number of elements in RDDs, DataFrames and DataSets

PySpark count() is a method applied to RDDs (Resilient Distributed Datasets), DataFrames, and DataSets in PySpark to count the number…

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Data Warehouse @ Freshers.in

Seas of Big Data: Challenges in Handling Large Volumes during ETL Processes

In the era of big data, organizations face the daunting task of processing and extracting meaningful insights from massive datasets….

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PySpark @ Freshers.in

Calculating the average of a set of numerical values in PySpark – avg – Examples included

PySpark’s avg function is designed for one of the most common data analysis tasks – calculating the average of a…

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PySpark @ Freshers.in

PySpark’s atan2 function : To solve complex mathematical problems in distributed data processing.

pyspark.sql.functions.atan2 In this comprehensive guide, we will delve into the world of PySpark’s atan2 function – a mathematical gem that…

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PySpark @ Freshers.in

Computing the Levenshtein distance between two strings using PySpark – Examples included

pyspark.sql.functions.levenshtein The Levenshtein function in PySpark computes the Levenshtein distance between two strings – that is, the minimum number of…

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PySpark @ Freshers.in

Computing the number of characters in a given string column using PySpark: length

PySpark’s length function computes the number of characters in a given string column. It is pivotal in various data transformations…

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PySpark @ Freshers.in

Returning the smallest value from a set of columns in PySpark – least

pyspark.sql.functions.least The least function in PySpark returns the smallest value from a set of columns. It is often used in…

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