Welcome! Today, we'll explore Data Projection Techniques in Kotlin. Data projection is akin to using a special light to make diamonds shine brighter amidst other gems, aiding in their identification.

This lesson will equip you with the concepts of data projection, its implementation using Kotlin's collection operations, and how to integrate it with filtering. Let's forge ahead!

Data projection involves applying a function to elements of a data stream, resulting in a reshaped view. A common instance of data projection is selecting specific fields from data collections.

In Kotlin, you can use named functions for data projection with the map method. Here’s an example of finding each number's square in a list using a named function:

1. The square function is defined to compute the square of a given number:

   • Takes an integer input and returns its square value
   • Serves as a reusable transformation function

2. The map method applies this function to each element:

   • Iterates through the entire list
   • Transforms each element using the provided function
   • Creates a new list with transformed values