Tag: Big Data

PySpark @ Freshers.in

PySpark : Formatting numbers to a specific number of decimal places.

pyspark.sql.functions.format_number One of the useful functions in PySpark is the format_number function, which is used to format numbers to a…

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PySpark @ Freshers.in

PySpark : Creating multiple rows for each element in the array[explode]

pyspark.sql.functions.explode One of the important operations in PySpark is the explode function, which is used to convert a column of…

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PySpark @ Freshers.in

PySpark : How decode works in PySpark ?

One of the important concepts in PySpark is data encoding and decoding, which refers to the process of converting data…

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PySpark @ Freshers.in

PySpark : Extracting dayofmonth, dayofweek, and dayofyear in PySpark

pyspark.sql.functions.dayofmonth pyspark.sql.functions.dayofweek pyspark.sql.functions.dayofyear One of the most common data manipulations in PySpark is working with date and time columns. PySpark…

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AWS Glue @ Freshers.in

Explain the purpose of the AWS Glue data catalog.

The AWS Glue data catalog is a central repository for storing metadata about data sources, transformations, and targets used in…

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Spark : Calculate the number of unique elements in a column using PySpark

pyspark.sql.functions.countDistinct In PySpark, the countDistinct function is used to calculate the number of unique elements in a column. This is…

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Spark : Advantages of Google’s Serverless Spark

Google’s Serverless Spark has several advantages compared to traditional Spark clusters: Cost-effective: Serverless Spark eliminates the need for dedicated servers…

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PySpark @ Freshers.in

PySpark : How to decode in PySpark ?

pyspark.sql.functions.decode The pyspark.sql.functions.decode Function in PySpark PySpark is a popular library for processing big data using Apache Spark. One of…

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