pyspark.sql.functions.decode The pyspark.sql.functions.decode Function in PySpark PySpark is a popular library for processing big data…
Tag: big_data_interview
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…
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…
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…
AWS Glue and what is it used for – A easy to read introduction
AWS Glue is a fully managed extract, transform, load (ETL) service provided by Amazon Web Services (AWS). It is used…
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…
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…
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…
PySpark : Date Formatting : Converts a date, timestamp, or string to a string value with specified format in PySpark
pyspark.sql.functions.date_format In PySpark, dates and timestamps are stored as timestamp type. However, while working with timestamps in PySpark, sometimes it…
PySpark : Adding a specified number of days to a date column in PySpark
pyspark.sql.functions.date_add The date_add function in PySpark is used to add a specified number of days to a date column. It’s…
PySpark : How to Compute the cumulative distribution of a column in a DataFrame
pyspark.sql.functions.cume_dist The cumulative distribution is a method used in probability and statistics to determine the distribution of a random variable,…