In-memory processing

Okay kiddo, imagine your mom asks you to get a toy from your toy box. You would go to your toy box, rummage through it, and finally find the toy you are looking for. Now, imagine if you had a magic book next to you that had all the pictures of your toys and their locations. You could flip through the book quickly, find the toy you need, and grab it immediately without searching through your toy box.

In-memory processing is a lot like this magic book. Instead of searching through a database every time we need data, we keep the important pieces of data in our computer's memory (RAM) where we can quickly access them. So, when we need the data, we don't have to wait for the computer to search through the database, but instead, we can access it quickly from the memory.

This is very useful when we need to work with large amounts of data quickly. In-memory processing allows us to analyze, manipulate, and retrieve data in real-time, which means we can make decisions quickly based on the information we have. This is why in-memory processing is used for things like financial analysis, stock trading, and big data analytics.

So, in simpler terms, in-memory processing is like having a magic book that stores important information for quick access when we need it. It helps us work with large amounts of data quickly and make decisions based on real-time information.