PySpark

You will learn how to install PySpark, how to create, inspect DataType and Schema, and convert DataFrame to other formats in PySpark...

Understanding data types ensures data integrity and optimises performance. In this article you will see the most common data types and examples in Apache Spark...

Manipulating rows and columns allows you to clean the data, handle missing values, filter out irrelevant information, and transform the data into a suitable format for analysis...

You will learn how to convert datetime column to a specific date time format, extract components from timestamp, and learn how to calculate and compare timestamps in PySpark...

You will learn how to create spark session, load data and check schema, check duplicate records, how to check missing values, how to extract date and time from datetime column, create new columns, how to group, aggregate, and filter data...

In this tutorial you will learn how to do analysis and make business insights with SQL statement in PySpark...

In this tutorial you will learn how to use Random forest model to make predictions on Iris species...

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