Welcome! Today, we'll explore Data Projection Techniques. Data projection is akin to using a special light to make diamonds shine brighter amidst other gems, aiding their identification.
This lesson will shed light on the concept of data projection and its implementation using Go. We will also demonstrate how to integrate it with filtering techniques. 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 datasets.
Unlike other languages which offer built-in functions, Go relies on manual loops to apply a function across slices. Here's an illustration of finding each number's square in a slice of numbers:
Beyond basic transformations, Go enables you to perform more complex operations on data streams using generics. Let’s enhance our data projection by implementing it using Go’s generics, and then convert a slice of sentences to lowercase:
