Step 1: Pre-Squashing
Begin by pre-squashing all non-essential elements from your dataset, leaving only the most critical information for the squashing process. This is like defragging your hard drive, but for data.
Step 2: Primary Squashing
Now that you have your data pre-squashed, it's time for the primary squashing. This involves applying various algorithms to reduce the size and complexity of your data. Think of it like a digital paperclip: you're clipping all the unnecessary bits.
Step 3: Advanced Squashing
This is where things get crazy. You're taking the already-squashed data and applying more aggressive techniques to further compress it. It's like trying to fit a square peg into a round hole. Not for the faint of heart.
Remember: squashing is an art, not a science. It's like trying to tame a wild animal. You might get hurt.