Objective: Create a Java application that demonstrates how to use Java Streams to efficiently process a large dataset. Your program will read data from a source such as a CSV file and then perform operations like filtering, mapping, and aggregation using Java Streams. This assignment will showcase how Streams can simplify data processing tasks, improve performance, and enable a functional programming style in Java.
Instructions:
Set Up Your Project: Create a new Java project in your preferred IDE (such as Eclipse, IntelliJ IDEA, or NetBeans). Ensure you have the necessary libraries for reading CSV files. You can use libraries like OpenCSV or Apache Commons CSV to make CSV file handling easier.
Create a Sample Dataset: You can create a sample CSV file named data.csv with some mock data. For example, create a dataset of fictional people with attributes like Name, Age, City, and Salary. Heres a small example of what your CSV might look like: Pic 1 (attached)
Implement Java Streams:Use Java Streams to perform operations on the dataset. Here are some common operations you can demonstrate:
- Filtering: Select people who are older than 30.
- Mapping: Extract a list of names from the dataset.
- Aggregation: Calculate the average salary of people from a specific city.
Pic 2 (Attached)
Explain Your Code: Add comments to your code explaining each part of the process. Describe how Java Streams help simplify data processing tasks and improve performance.
Testing: Test your application with different datasets to ensure it works correctly. Observe how the code performs with larger datasets to see the benefits of using Streams.

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