Processing Employees Data

Introduction

In the world of Linux command-line utilities, join and awk are powerful tools that can greatly enhance your data processing capabilities. This challenge will test your ability to use these commands effectively to process and combine data from multiple sources, dealing with a substantial dataset that requires automation.

Skills Graph

Combining and Processing Data

Tasks

1. Use the join command to combine data from two files: employees.txt and departments.txt.
2. Process the combined data using awk to create a formatted output.
3. Sort the output alphabetically by the employee's last name.

Requirements

• All operations must be performed in the ~/project directory.
• Use the join command to combine data from employees.txt and departments.txt.
• Use awk to format the output.
• The final output should be saved in a file named employee_departments.txt.
• The output should be sorted alphabetically by the employee's last name.

Example

Input files (truncated for brevity):

employees.txt:

1 John Doe
2 Jane Smith
3 Bob Johnson
...

departments.txt:

1 Sales
2 Marketing
3 Engineering
...

Expected output in employee_departments.txt (truncated for brevity):

Allen Barbara works in Marketing
Anderson Emily works in Resources
Bailey Michelle works in Marketing
...

Summary

In this challenge, you've explored the powerful combination of join and awk commands in Linux, working with a substantial dataset of 50 employees. By joining data from two separate files, processing it with awk, and sorting the results, you've created a formatted output that combines information in a useful way. This exercise demonstrates how these commands can be used to efficiently process and combine data from multiple sources, a common task in data manipulation and system administration. The scale of the data in this challenge emphasizes the importance of using command-line tools for automation, as manual processing would be time-consuming and error-prone.