PySpark and AWS: Master Big Data with PySpark and AWS - Project Overview - Spark DFs

The video tutorial introduces a mini project using office data in a CSV file. It outlines the structure of the data, including an additional employee ID column, and describes various analytics tasks to perform, such as counting employees, analyzing departments, and adjusting salaries. The instructor encourages viewers to attempt these tasks independently before the next video, where solutions will be demonstrated.

What is the additional column added to the office data project CSV file?

• Bonus

• Employee ID

• Department

• Employee Name

Which of the following tasks involves analyzing the number of employees?

• Print the department names of the company

• Sort salaries in ascending order

• Print the total number of employees in each state

• Print the minimum and maximum salaries in each department

What should be done for employees in NY state under the Finance department?

• Reduce their working hours

• Print their names if their bonuses are above the average

• Transfer them to another department

• Increase their salaries by $500

What is the recommended action for employees over the age of 45?

• Decrease their working hours

• Raise their salaries by $500

• Promote them to a higher position

• Transfer them to a different state

What is the purpose of the next video in the series?

• To introduce a new project

• To provide solutions to the analytics tasks

• To discuss the history of the company

• To explain the CSV file structure